openai-cookbook

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# yaml-language-server: $schema=./.github/registry_schema.json
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# This file is used to generate cookbook.openai.com. It specifies which paths we
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# should build pages for, and indicates metadata such as tags, creation date and
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# authors for each page.
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- title: Using logprobs
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  path: examples/Using_logprobs.ipynb
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  date: 2023-12-20
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  authors:
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    - jhills20
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    - shyamal-anadkat
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  tags:
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    - completions
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- title: Creating slides with the Assistants API and DALL·E 3
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  path: examples/Creating_slides_with_Assistants_API_and_DALL-E3.ipynb
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  date: 2023-12-08
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  authors:
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    - jhills20
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  tags:
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    - assistants
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    - dall-e
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- title: Data preparation and analysis for chat model fine-tuning
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  path: examples/Chat_finetuning_data_prep.ipynb
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  date: 2023-08-22
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  authors:
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    - mwu1993
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    - simonpfish
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  tags:
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    - completions
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    - tiktoken
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- title: Classification using embeddings
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  path: examples/Classification_using_embeddings.ipynb
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  date: 2022-07-11
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  authors:
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    - ted-at-openai
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    - logankilpatrick
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  tags:
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    - embeddings
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- title: Clustering
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  path: examples/Clustering.ipynb
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  date: 2022-03-10
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  authors:
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    - BorisPower
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    - ted-at-openai
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    - logankilpatrick
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  tags:
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    - embeddings
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- title: Clustering for transaction classification
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  path: examples/Clustering_for_transaction_classification.ipynb
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  date: 2022-10-20
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  authors:
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    - colin-jarvis
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    - ted-at-openai
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  tags:
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    - embeddings
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    - completions
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- title: Code search using embeddings
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  path: examples/Code_search_using_embeddings.ipynb
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  date: 2022-03-10
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  authors:
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    - BorisPower
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    - logankilpatrick
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    - eli64s
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  tags:
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    - embeddings
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- title: Customizing embeddings
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  path: examples/Customizing_embeddings.ipynb
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  date: 2022-03-10
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  authors:
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    - ted-at-openai
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    - BorisPower
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  tags:
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    - embeddings
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- title: Embedding Wikipedia articles for search
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  path: examples/Embedding_Wikipedia_articles_for_search.ipynb
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  date: 2023-04-14
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  authors:
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    - ted-at-openai
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  tags:
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    - embeddings
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    - completions
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- title: Embedding texts that are longer than the model's maximum context length
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  path: examples/Embedding_long_inputs.ipynb
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  date: 2023-01-18
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  authors:
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    - filipeabperes
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  tags:
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    - embeddings
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    - tiktoken
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- title: Long document content extraction
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  path: examples/Entity_extraction_for_long_documents.ipynb
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  date: 2023-02-20
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  authors:
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    - colin-openai
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  tags:
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    - completions
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- title: Fine tuning classification example
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  path: examples/Fine-tuned_classification.ipynb
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  date: 2022-03-10
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  authors:
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    - BorisPower
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  tags:
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    - completions
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- title: >-
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    Function calling for nearby places: Leveraging the Google Places API and
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    customer profiles
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  path: examples/Function_calling_finding_nearby_places.ipynb
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  date: 2023-08-11
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  authors:
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    - prestontuggle
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  tags:
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    - completions
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    - functions
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- title: Using embeddings
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  path: examples/Using_embeddings.ipynb
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  date: 2022-03-10
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  authors:
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    - BorisPower
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    - ted-at-openai
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    - logankilpatrick
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    - jbeutler-openai
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  tags:
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    - embeddings
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- title: How to build a tool-using agent with LangChain
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  path: examples/How_to_build_a_tool-using_agent_with_Langchain.ipynb
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  date: 2023-05-02
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  authors:
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    - colin-openai
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  tags:
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    - completions
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    - embeddings
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- title: How to use functions with a knowledge base
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  path: examples/How_to_call_functions_for_knowledge_retrieval.ipynb
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  date: 2023-06-14
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  authors:
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    - colin-openai
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  tags:
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    - completions
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    - functions
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- title: How to call functions with chat models
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  path: examples/How_to_call_functions_with_chat_models.ipynb
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  date: 2023-06-13
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  authors:
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    - colin-openai
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    - joe-at-openai
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  tags:
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    - completions
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    - functions
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- title: How to count tokens with Tiktoken
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  path: examples/How_to_count_tokens_with_tiktoken.ipynb
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  date: 2022-12-16
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  authors:
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    - ted-at-openai
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  tags:
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    - tiktoken
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    - completions
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- title: How to fine-tune chat models
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  path: examples/How_to_finetune_chat_models.ipynb
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  date: 2023-08-22
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  authors:
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    - simonpfish
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  tags:
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    - completions
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- title: How to format inputs to ChatGPT models
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  path: examples/How_to_format_inputs_to_ChatGPT_models.ipynb
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  date: 2023-03-01
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  authors:
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    - ted-at-openai
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  tags:
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    - completions
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    - tiktoken
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- title: How to handle rate limits
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  path: examples/How_to_handle_rate_limits.ipynb
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  date: 2022-09-10
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  authors:
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    - ted-at-openai
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  tags:
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    - completions
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    - embeddings
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- title: How to stream completions
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  path: examples/How_to_stream_completions.ipynb
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  date: 2022-09-02
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  authors:
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    - ted-at-openai
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  tags:
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    - completions
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    - tiktoken
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- title: Multiclass Classification for Transactions
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  path: examples/Multiclass_classification_for_transactions.ipynb
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  date: 2022-10-20
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  authors:
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    - colin-jarvis
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  tags:
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    - embeddings
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    - completions
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- title: Get embeddings from dataset
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  path: examples/Get_embeddings_from_dataset.ipynb
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  date: 2022-03-10
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  authors:
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    - BorisPower
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    - ted-at-openai
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  tags:
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    - embeddings
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- title: Question answering using a search API and re-ranking
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  path: examples/Question_answering_using_a_search_API.ipynb
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  date: 2023-06-16
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  authors:
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    - simonpfish
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    - ted-at-openai
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  tags:
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    - embeddings
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    - completions
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- title: Question answering using embeddings-based search
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  path: examples/Question_answering_using_embeddings.ipynb
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  date: 2022-06-10
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  authors:
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    - ted-at-openai
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    - MikeHeaton
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  tags:
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    - embeddings
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    - completions
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- title: Recommendation using embeddings and nearest neighbor search
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  path: examples/Recommendation_using_embeddings.ipynb
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  date: 2022-03-10
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  authors:
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    - ted-at-openai
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    - BorisPower
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    - logankilpatrick
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  tags:
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    - embeddings
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- title: Regression using the embeddings
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  path: examples/Regression_using_embeddings.ipynb
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  date: 2022-03-10
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  authors:
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    - BorisPower
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    - ted-at-openai
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    - logankilpatrick
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  tags:
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    - embeddings
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- title: Search reranking with cross-encoders
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  path: examples/Search_reranking_with_cross-encoders.ipynb
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  date: 2023-06-28
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  authors:
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    - colin-openai
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  tags:
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    - embeddings
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    - completions
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- title: Semantic text search using embeddings
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  path: examples/Semantic_text_search_using_embeddings.ipynb
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  date: 2022-03-10
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  authors:
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    - BorisPower
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    - ted-at-openai
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    - logankilpatrick
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  tags:
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    - embeddings
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- title: Unit test writing using a multi-step prompt
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  path: examples/Unit_test_writing_using_a_multi-step_prompt.ipynb
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  date: 2022-11-15
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  authors:
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    - ted-at-openai
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  tags:
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    - completions
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- title: Unit test writing using a multi-step prompt with legacy Completions
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  path: >-
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    examples/Unit_test_writing_using_a_multi-step_prompt_with_older_completions_API.ipynb
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  date: 2023-05-19
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  authors:
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    - ted-at-openai
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  tags:
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    - completions
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- title: User and product embeddings
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  path: examples/User_and_product_embeddings.ipynb
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  date: 2022-03-10
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  authors:
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    - BorisPower
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  tags:
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    - embeddings
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- title: Visualizing the embeddings in 2D
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  path: examples/Visualizing_embeddings_in_2D.ipynb
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  date: 2022-03-10
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  authors:
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    - BorisPower
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    - ted-at-openai
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  tags:
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    - embeddings
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- title: Visualizing embeddings in 3D
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  path: examples/Visualizing_embeddings_in_3D.ipynb
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  date: 2022-03-10
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  authors:
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    - BorisPower
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    - ted-at-openai
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  tags:
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    - embeddings
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- title: Visualizing embeddings in Weights and Biases
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  path: examples/third_party/Visualizing_embeddings_in_wandb.ipynb
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  date: 2023-02-01
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  authors:
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    - scottire
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  tags:
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    - embeddings
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- title: Visualizing embeddings in Atlas
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  path: examples/third_party/Visualizing_embeddings_with_Atlas.ipynb
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  date: 2023-03-28
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  authors:
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    - AndriyMulyar
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    - TDulka
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  tags:
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    - embeddings
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- title: "Addressing transcription misspellings: prompt vs post-processing"
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  path: examples/Whisper_correct_misspelling.ipynb
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  date: 2023-08-11
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  authors:
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    - prestontuggle
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  tags:
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    - whisper
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    - completions
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- title: "Enhancing Whisper transcriptions: pre- & post-processing techniques"
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  path: examples/Whisper_processing_guide.ipynb
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  date: 2023-08-11
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  authors:
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    - prestontuggle
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  tags:
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    - whisper
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- title: Whisper prompting guide
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  path: examples/Whisper_prompting_guide.ipynb
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  date: 2023-06-27
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  authors:
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    - prestontuggle
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  tags:
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    - whisper
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    - completions
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- title: Zero-shot classification with embeddings
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  path: examples/Zero-shot_classification_with_embeddings.ipynb
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  date: 2022-03-10
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  authors:
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    - BorisPower
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    - ted-at-openai
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    - logankilpatrick
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  tags:
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    - embeddings
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- title: Azure DALL·E image generation example
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  path: examples/azure/DALL-E.ipynb
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  date: 2023-06-12
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  authors:
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    - glecaros
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  tags:
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    - dall-e
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- title: Azure Chat Completions example (preview)
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  path: examples/azure/chat.ipynb
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  date: 2023-03-28
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  authors:
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    - cmurtz-msft
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    - glecaros
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    - kristapratico
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  tags:
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    - completions
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- title: Azure Chat Completion models with your own data (preview)
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  path: examples/azure/chat_with_your_own_data.ipynb
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  date: 2023-09-11
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  authors:
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    - kristapratico
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  tags:
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    - completions
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- title: Azure completions example
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  path: examples/azure/completions.ipynb
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  date: 2022-12-16
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  authors:
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    - cmurtz-msft
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    - glecaros
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    - kristapratico
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  tags:
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    - embeddings
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    - completions
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- title: Azure embeddings example
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  path: examples/azure/embeddings.ipynb
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  date: 2022-07-12
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  authors:
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    - ted-at-openai
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    - cmurtz-msft
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    - glecaros
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    - kristapratico
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  tags:
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    - embeddings
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- title: Azure functions example
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  path: examples/azure/functions.ipynb
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  date: 2023-07-21
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  authors:
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    - kristapratico
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  tags:
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    - completions
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    - functions
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- title: Translate a book writen in LaTeX from Slovenian into English
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  path: examples/book_translation/translate_latex_book.ipynb
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  date: 2022-03-10
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  authors:
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    - BorisPower
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  tags:
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    - completions
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    - tiktoken
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- title: How to create dynamic masks with DALL·E and Segment Anything
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  path: >-
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    examples/dalle/How_to_create_dynamic_masks_with_DALL-E_and_Segment_Anything.ipynb
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  date: 2023-05-19
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  authors:
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    - colin-openai
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  tags:
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    - dall-e
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- title: How to use the DALL·E API
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  path: examples/dalle/Image_generations_edits_and_variations_with_DALL-E.ipynb
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  date: 2022-11-04
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  authors:
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    - ted-at-openai
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  tags:
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    - dall-e
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- title: How to evaluate a summarization task
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  path: examples/evaluation/How_to_eval_abstractive_summarization.ipynb
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  date: 2023-08-16
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  authors:
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    - shyamal-anadkat
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    - simonpfish
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  tags:
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    - embeddings
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    - completions
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- title: Getting Started with OpenAI Evals
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  path: examples/evaluation/Getting_Started_with_OpenAI_Evals.ipynb
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  date: 2024-03-21
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  authors:
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    - royziv11
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    - shyamal-anadkat
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  tags:
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    - completions
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- title: Fine-Tuned Q&A - collect data
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  path: examples/fine-tuned_qa/olympics-1-collect-data.ipynb
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  date: 2022-03-10
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  authors:
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    - ted-at-openai
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    - BorisPower
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  tags:
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    - embeddings
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    - completions
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- title: Fine-Tuned Q&A - create Q&A
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  path: examples/fine-tuned_qa/olympics-2-create-qa.ipynb
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  date: 2022-03-10
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  authors:
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    - ted-at-openai
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    - BorisPower
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  tags:
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    - embeddings
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    - completions
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- title: Fine-Tuned Q&A - train
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  path: examples/fine-tuned_qa/olympics-3-train-qa.ipynb
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  date: 2022-03-10
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  authors:
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    - ted-at-openai
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    - BorisPower
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  tags:
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    - completions
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    - embeddings
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- title: Visualizing the embeddings in Kangas
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  path: examples/third_party/Visualizing_embeddings_in_Kangas.ipynb
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  date: 2023-07-11
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  authors:
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    - dsblank
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  tags:
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    - embeddings
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- title: Financial document analysis with LlamaIndex
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  path: >-
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    examples/third_party/financial_document_analysis_with_llamaindex.ipynb
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  date: 2023-06-22
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  authors:
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    - Disiok
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  tags:
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    - embeddings
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    - completions
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- title: Vector databases
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  path: examples/vector_databases/README.md
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  date: 2023-06-28
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  authors:
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    - colin-openai
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    - moizsajid
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  tags:
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    - embeddings
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- title: Using PolarDB-PG as a vector database for OpenAI embeddings
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  path: >-
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    examples/vector_databases/PolarDB/Getting_started_with_PolarDB_and_OpenAI.ipynb
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  date: 2023-07-11
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  authors:
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    - liuchengshan-lcs
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  tags:
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    - embeddings
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- title: Semantic search with SingleStoreDB
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  path: >-
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    examples/vector_databases/SingleStoreDB/OpenAI_wikipedia_semantic_search.ipynb
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  date: 2023-05-22
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  authors:
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    - arno756
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  tags:
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    - completions
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    - embeddings
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- title: SingleStoreDB
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  path: examples/vector_databases/SingleStoreDB/README.md
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  date: 2023-05-22
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  authors:
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    - arno756
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  tags:
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    - embeddings
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    - completions
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- title: Using AnalyticDB as a vector database for OpenAI embeddings
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  path: >-
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    examples/vector_databases/analyticdb/Getting_started_with_AnalyticDB_and_OpenAI.ipynb
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  date: 2023-04-06
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  authors:
577
    - wangxuqi
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  tags:
579
    - embeddings
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- title: Question answering with Langchain, AnalyticDB and OpenAI
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  path: >-
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    examples/vector_databases/analyticdb/QA_with_Langchain_AnalyticDB_and_OpenAI.ipynb
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  date: 2023-05-05
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  authors:
586
    - wangxuqi
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  tags:
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    - embeddings
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    - tiktoken
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- title: Azure AI Search as a vector database for OpenAI embeddings
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  path: >-
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    examples/vector_databases/azuresearch/Getting_started_with_azure_ai_search_and_openai.ipynb
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  date: 2023-09-11
595
  authors:
596
    - farzad528
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  tags:
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    - embeddings
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- title: Philosophy with vector embeddings, OpenAI and Cassandra / Astra DB
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  path: examples/vector_databases/cassandra_astradb/Philosophical_Quotes_CQL.ipynb
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  date: 2023-08-29
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  authors:
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    - hemidactylus
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  tags:
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    - embeddings
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    - completions
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- title: Philosophy with vector embeddings, OpenAI and Cassandra / Astra DB
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  path: >-
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    examples/vector_databases/cassandra_astradb/Philosophical_Quotes_cassIO.ipynb
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  date: 2023-08-29
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  authors:
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    - hemidactylus
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  tags:
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    - embeddings
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    - completions
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- title: Cassandra / Astra DB
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  path: examples/vector_databases/cassandra_astradb/README.md
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  date: 2023-08-29
622
  authors:
623
    - hemidactylus
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  tags:
625
    - embeddings
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- title: Using Chroma for embeddings search
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  path: examples/vector_databases/chroma/Using_Chroma_for_embeddings_search.ipynb
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  date: 2023-06-28
630
  authors:
631
    - colin-openai
632
    - atroyn
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  tags:
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    - embeddings
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- title: Robust question answering with Chroma and OpenAI
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  path: examples/vector_databases/chroma/hyde-with-chroma-and-openai.ipynb
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  date: 2023-04-06
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  authors:
640
    - atroyn
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  tags:
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    - embeddings
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    - completions
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- title: Elasticsearch
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  path: examples/vector_databases/elasticsearch/README.md
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  date: 2023-08-29
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  authors:
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    - leemthompo
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  tags:
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    - embeddings
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    - completions
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- title: Retrieval augmented generation using Elasticsearch and OpenAI
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  path: >-
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    examples/vector_databases/elasticsearch/elasticsearch-retrieval-augmented-generation.ipynb
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  date: 2023-08-29
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  authors:
659
    - leemthompo
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  tags:
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    - embeddings
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    - completions
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- title: Semantic search using Elasticsearch and OpenAI
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  path: examples/vector_databases/elasticsearch/elasticsearch-semantic-search.ipynb
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  date: 2023-08-29
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  authors:
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    - leemthompo
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  tags:
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    - embeddings
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    - completions
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- title: Using Hologres as a vector database for OpenAI embeddings
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  path: >-
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    examples/vector_databases/hologres/Getting_started_with_Hologres_and_OpenAI.ipynb
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  date: 2023-05-19
677
  authors:
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    - zcgeng
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  tags:
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    - embeddings
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- title: Kusto as a vector database for embeddings
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  path: >-
684
    examples/vector_databases/kusto/Getting_started_with_kusto_and_openai_embeddings.ipynb
685
  date: 2023-05-10
686
  authors:
687
    - Anshul Sharma
688
  tags:
689
    - embeddings
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- title: Kusto as a vector database
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  path: examples/vector_databases/kusto/README.md
693
  date: 2023-05-10
694
  authors:
695
    - Anshul Sharma
696
  tags:
697
    - embeddings
698

699
- title: Filtered search with Milvus and OpenAI
700
  path: >-
701
    examples/vector_databases/milvus/Filtered_search_with_Milvus_and_OpenAI.ipynb
702
  date: 2023-03-28
703
  authors:
704
    - filip-halt
705
  tags:
706
    - embeddings
707

708
- title: Getting started with Milvus and OpenAI
709
  path: >-
710
    examples/vector_databases/milvus/Getting_started_with_Milvus_and_OpenAI.ipynb
711
  date: 2023-03-28
712
  authors:
713
    - filip-halt
714
  tags:
715
    - embeddings
716

717
- title: Using MyScale as a vector database for OpenAI embeddings
718
  path: >-
719
    examples/vector_databases/myscale/Getting_started_with_MyScale_and_OpenAI.ipynb
720
  date: 2023-05-01
721
  authors:
722
    - melovy
723
  tags:
724
    - embeddings
725

726
- title: Using MyScale for embeddings search
727
  path: examples/vector_databases/myscale/Using_MyScale_for_embeddings_search.ipynb
728
  date: 2023-06-28
729
  authors:
730
    - colin-openai
731
  tags:
732
    - embeddings
733

734
- title: Retrieval augmentation for GPT-4 using Pinecone
735
  path: examples/vector_databases/pinecone/GPT4_Retrieval_Augmentation.ipynb
736
  date: 2023-03-24
737
  authors:
738
    - jamescalam
739
  tags:
740
    - embeddings
741
    - completions
742
    - tiktoken
743

744
- title: Retrieval augmented generative question answering with Pinecone
745
  path: examples/vector_databases/pinecone/Gen_QA.ipynb
746
  date: 2023-02-07
747
  authors:
748
    - jamescalam
749
  tags:
750
    - embeddings
751
    - completions
752

753
- title: Pinecone vector database
754
  path: examples/vector_databases/pinecone/README.md
755
  date: 2023-03-24
756
  authors:
757
    - jamescalam
758
  tags:
759
    - embeddings
760
    - completions
761

762
- title: Semantic search with Pinecone and OpenAI
763
  path: examples/vector_databases/pinecone/Semantic_Search.ipynb
764
  date: 2023-03-24
765
  authors:
766
    - jamescalam
767
  tags:
768
    - embeddings
769

770
- title: Using Pinecone for embeddings search
771
  path: >-
772
    examples/vector_databases/pinecone/Using_Pinecone_for_embeddings_search.ipynb
773
  date: 2023-06-28
774
  authors:
775
    - colin-openai
776
  tags:
777
    - embeddings
778

779
- title: Using Qdrant as a vector database for OpenAI embeddings
780
  path: >-
781
    examples/vector_databases/qdrant/Getting_started_with_Qdrant_and_OpenAI.ipynb
782
  date: 2023-02-16
783
  authors:
784
    - kacperlukawski
785
  tags:
786
    - embeddings
787

788
- title: Question answering with Langchain, Qdrant and OpenAI
789
  path: examples/vector_databases/qdrant/QA_with_Langchain_Qdrant_and_OpenAI.ipynb
790
  date: 2023-02-16
791
  authors:
792
    - kacperlukawski
793
  tags:
794
    - embeddings
795

796
- title: Using Qdrant for embeddings search
797
  path: examples/vector_databases/qdrant/Using_Qdrant_for_embeddings_search.ipynb
798
  date: 2023-06-28
799
  authors:
800
    - colin-openai
801
    - kacperlukawski
802
  tags:
803
    - embeddings
804

805
- title: Redis
806
  path: examples/vector_databases/redis/README.md
807
  date: 2023-02-13
808
  authors:
809
    - Spartee
810
  tags:
811
    - embeddings
812
    - completions
813

814
- title: Using Redis for embeddings search
815
  path: examples/vector_databases/redis/Using_Redis_for_embeddings_search.ipynb
816
  date: 2023-06-28
817
  authors:
818
    - colin-openai
819
  tags:
820
    - embeddings
821

822
- title: Using Redis as a vector database with OpenAI
823
  path: examples/vector_databases/redis/getting-started-with-redis-and-openai.ipynb
824
  date: 2023-02-13
825
  authors:
826
    - Spartee
827
  tags:
828
    - embeddings
829

830
- title: Running hybrid VSS queries with Redis and OpenAI
831
  path: examples/vector_databases/redis/redis-hybrid-query-examples.ipynb
832
  date: 2023-05-11
833
  authors:
834
    - Michael Yuan
835
  tags:
836
    - embeddings
837

838
- title: Redis vectors as JSON with OpenAI
839
  path: examples/vector_databases/redis/redisjson/redisjson.ipynb
840
  date: 2023-05-10
841
  authors:
842
    - Michael Yuan
843
  tags:
844
    - embeddings
845

846
- title: Redis as a context store with Chat Completions
847
  path: examples/vector_databases/redis/redisqna/redisqna.ipynb
848
  date: 2023-05-11
849
  authors:
850
    - Michael Yuan
851
  tags:
852
    - completions
853
    - embeddings
854

855
- title: Using Tair as a vector database for OpenAI embeddings
856
  path: examples/vector_databases/tair/Getting_started_with_Tair_and_OpenAI.ipynb
857
  date: 2023-09-11
858
  authors:
859
    - dongqqcom
860
  tags:
861
    - embeddings
862

863
- title: Question answering with Langchain, Tair and OpenAI
864
  path: examples/vector_databases/tair/QA_with_Langchain_Tair_and_OpenAI.ipynb
865
  date: 2023-09-11
866
  authors:
867
    - dongqqcom
868
  tags:
869
    - embeddings
870
    - tiktoken
871
    - completions
872

873
- title: Typesense
874
  path: examples/vector_databases/typesense/README.md
875
  date: 2023-04-13
876
  authors:
877
    - jasonbosco
878
  tags:
879
    - embeddings
880

881
- title: Using Typesense for embeddings search
882
  path: >-
883
    examples/vector_databases/typesense/Using_Typesense_for_embeddings_search.ipynb
884
  date: 2023-06-28
885
  authors:
886
    - colin-openai
887
  tags:
888
    - embeddings
889

890
- title: Weaviate <> OpenAI
891
  path: examples/vector_databases/weaviate/README.md
892
  date: 2023-02-13
893
  authors:
894
    - colin-openai
895
  tags:
896
    - embeddings
897

898
- title: Using Weaviate for embeddings search
899
  path: >-
900
    examples/vector_databases/weaviate/Using_Weaviate_for_embeddings_search.ipynb
901
  date: 2023-06-28
902
  authors:
903
    - colin-openai
904
  tags:
905
    - embeddings
906

907
- title: Using Weaviate with generative OpenAI module for generative search
908
  path: >-
909
    examples/vector_databases/weaviate/generative-search-with-weaviate-and-openai.ipynb
910
  date: 2023-05-22
911
  authors:
912
    - sebawita
913
  tags:
914
    - embeddings
915
    - completions
916

917
- title: Using Weaviate with OpenAI vectorize module for embeddings search
918
  path: >-
919
    examples/vector_databases/weaviate/getting-started-with-weaviate-and-openai.ipynb
920
  date: 2023-02-13
921
  authors:
922
    - colin-openai
923
  tags:
924
    - embeddings
925

926
- title: Using Weaviate with OpenAI vectorize module for hybrid search
927
  path: >-
928
    examples/vector_databases/weaviate/hybrid-search-with-weaviate-and-openai.ipynb
929
  date: 2023-02-13
930
  authors:
931
    - colin-openai
932
  tags:
933
    - embeddings
934

935
- title: Question Answering in Weaviate with OpenAI Q&A module
936
  path: >-
937
    examples/vector_databases/weaviate/question-answering-with-weaviate-and-openai.ipynb
938
  date: 2023-02-13
939
  authors:
940
    - colin-openai
941
  tags:
942
    - embeddings
943
    - completions
944

945
- title: Filtered Search with Zilliz and OpenAI
946
  path: >-
947
    examples/vector_databases/zilliz/Filtered_search_with_Zilliz_and_OpenAI.ipynb
948
  date: 2023-03-28
949
  authors:
950
    - filip-halt
951
  tags:
952
    - embeddings
953

954
- title: Getting Started with Zilliz and OpenAI
955
  path: >-
956
    examples/vector_databases/zilliz/Getting_started_with_Zilliz_and_OpenAI.ipynb
957
  date: 2023-03-28
958
  authors:
959
    - filip-halt
960
  tags:
961
    - embeddings
962

963
- title: Techniques to improve reliability
964
  path: articles/techniques_to_improve_reliability.md
965
  redirects:
966
    - techniques_to_improve_reliability
967
  date: 2022-09-12
968
  authors:
969
    - ted-at-openai
970
  tags:
971
    - completions
972

973
- title: How to work with large language models
974
  path: articles/how_to_work_with_large_language_models.md
975
  redirects:
976
    - how_to_work_with_large_language_models
977
  date: 2023-01-20
978
  authors:
979
    - ted-at-openai
980
  tags:
981
    - completions
982

983
- title: Use cases for embeddings
984
  path: articles/text_comparison_examples.md
985
  redirects:
986
    - text_comparison_examples
987
  date: 2023-01-20
988
  authors:
989
    - ted-at-openai
990
  tags:
991
    - embeddings
992

993
- title: Related resources from around the web
994
  path: articles/related_resources.md
995
  redirects:
996
    - related_resources
997
  date: 2023-01-20
998
  authors:
999
    - ted-at-openai
1000
    - simonpfish
1001
  tags:
1002
    - completions
1003
    - embeddings
1004

1005
- title: Fine-Tuning for retrieval augmented generation (RAG) with Qdrant
1006
  path: examples/fine-tuned_qa/ft_retrieval_augmented_generation_qdrant.ipynb
1007
  date: 2023-09-04
1008
  authors:
1009
    - NirantK
1010
  tags:
1011
    - completions
1012
    - embeddings
1013

1014
- title: How to automate AWS tasks with function calling
1015
  path: examples/third_party/How_to_automate_S3_storage_with_functions.ipynb
1016
  date: 2023-09-27
1017
  authors:
1018
    - Barqawiz
1019
  tags:
1020
    - completions
1021
    - embeddings
1022
    - functions
1023

1024
- title: Neon as a vector database
1025
  path: examples/vector_databases/neon/README.md
1026
  date: 2023-09-28
1027
  authors:
1028
    - Barqawiz
1029
  tags:
1030
    - embeddings
1031

1032
- title: Vector similarity search using Neon Postgres
1033
  path: examples/vector_databases/neon/neon-postgres-vector-search-pgvector.ipynb
1034
  date: 2023-09-28
1035
  authors:
1036
    - danieltprice
1037
  tags:
1038
    - embeddings
1039

1040
- title: Question answering with LangChain, Deep Lake, & OpenAI
1041
  path: examples/vector_databases/deeplake/deeplake_langchain_qa.ipynb
1042
  date: 2023-09-30
1043
  authors:
1044
    - FayazRahman
1045
  tags:
1046
    - embeddings
1047

1048
- title: Fine-tuning OpenAI models with Weights & Biases
1049
  path: examples/third_party/GPT_finetuning_with_wandb.ipynb
1050
  date: 2023-10-04
1051
  authors:
1052
    - ash0ts
1053
  tags:
1054
    - tiktoken
1055
    - completions
1056

1057
- title: OpenAI API Monitoring with Weights & Biases Weave
1058
  path: examples/third_party/Openai_monitoring_with_wandb_weave.ipynb
1059
  date: 2023-10-04
1060
  authors:
1061
    - ash0ts
1062
  tags:
1063
    - tiktoken
1064
    - completions
1065

1066
- title: How to build an agent with the OpenAI Node.js SDK
1067
  path: examples/How_to_build_an_agent_with_the_node_sdk.mdx
1068
  date: 2023-10-05
1069
  authors:
1070
    - perborgen
1071
  tags:
1072
    - completions
1073
    - functions
1074

1075
- title: Named Entity Recognition to Enrich Text
1076
  path: examples/Named_Entity_Recognition_to_enrich_text.ipynb
1077
  date: 2023-10-20
1078
  authors:
1079
    - dcarpintero
1080
  tags:
1081
    - completions
1082
    - functions
1083

1084
- title: What makes documentation good
1085
  path: articles/what_makes_documentation_good.md
1086
  redirects:
1087
    - what_makes_documentation_good
1088
  date: 2023-09-01
1089
  authors:
1090
    - ted-at-openai
1091
  tags: []
1092

1093
- title: Function calling with an OpenAPI specification
1094
  path: examples/Function_calling_with_an_OpenAPI_spec.ipynb
1095
  date: 2023-10-15
1096
  authors:
1097
    - shyamal-anadkat
1098
    - simonpfish
1099
  tags:
1100
    - completions
1101
    - functions
1102

1103
- title: Fine tuning for function calling
1104
  path: examples/Fine_tuning_for_function_calling.ipynb
1105
  date: 2023-11-07
1106
  authors:
1107
    - jhills20
1108
    - ibigio
1109
  tags:
1110
    - completions
1111
    - functions
1112

1113
- title: Processing and narrating a video with GPT's visual capabilities and the TTS API
1114
  path: examples/GPT_with_vision_for_video_understanding.ipynb
1115
  date: 2023-11-06
1116
  authors:
1117
    - cathykc
1118
  tags:
1119
    - completions
1120
    - vision
1121
    - speech
1122

1123
- title: What's new with DALL·E 3?
1124
  path: articles/what_is_new_with_dalle_3.mdx
1125
  date: 2023-11-06
1126
  authors:
1127
    - 0hq
1128
  tags:
1129
    - dall-e
1130

1131
- title: How to make your completions outputs consistent with the new seed parameter
1132
  path: examples/Reproducible_outputs_with_the_seed_parameter.ipynb
1133
  date: 2023-11-06
1134
  authors:
1135
    - shyamal-anadkat
1136
  tags:
1137
    - completions
1138

1139
- title: Assistants API Overview (Python SDK)
1140
  path: examples/Assistants_API_overview_python.ipynb
1141
  date: 2023-11-10
1142
  authors:
1143
    - ibigio
1144
  tags:
1145
    - assistants
1146
    - functions
1147

1148
- title: MongoDB Atlas Vector Search
1149
  path: examples/vector_databases/mongodb_atlas/README.md
1150
  date: 2023-11-21
1151
  authors:
1152
    - prakul
1153
  tags:
1154
    - embeddings
1155
    - completions
1156

1157
- title: Semantic search using MongoDB Atlas Vector Search and OpenAI
1158
  path: examples/vector_databases/mongodb_atlas/semantic_search_using_mongodb_atlas_vector_search.ipynb
1159
  date: 2023-11-21
1160
  authors:
1161
    - prakul
1162
  tags:
1163
    - embeddings
1164
    - completions
1165

1166
- title: Evaluate RAG with LlamaIndex
1167
  path: examples/evaluation/Evaluate_RAG_with_LlamaIndex.ipynb
1168
  date: 2023-11-06
1169
  authors:
1170
    - Ravi Theja
1171
  tags:
1172
    - embeddings
1173
    - completions
1174

1175
- title: RAG with a Graph database
1176
  path: examples/RAG_with_graph_db.ipynb
1177
  date: 2023-12-08
1178
  authors:
1179
    - katiagg
1180
  tags:
1181
    - embeddings
1182
    - completions
1183

1184
- title: Supabase Vector Database
1185
  path: examples/vector_databases/supabase/README.md
1186
  date: 2023-12-04
1187
  authors:
1188
    - ggrn
1189
  tags:
1190
    - embeddings
1191

1192
- title: Semantic search using Supabase Vector
1193
  path: examples/vector_databases/supabase/semantic-search.mdx
1194
  date: 2023-12-04
1195
  authors:
1196
    - ggrn
1197
  tags:
1198
    - embeddings
1199

1200
- title: How to implement LLM guardrails
1201
  path: examples/How_to_use_guardrails.ipynb
1202
  date: 2023-12-19
1203
  authors:
1204
    - colin-jarvis
1205
  tags:
1206
    - guardrails
1207

1208
- title: How to combine GPT4 with Vision with RAG to create a clothing matchmaker app
1209
  path: examples/How_to_combine_GPT4v_with_RAG_Outfit_Assistant.ipynb
1210
  date: 2024-02-16
1211
  authors:
1212
    - teomusatoiu
1213
  tags:
1214
    - vision
1215
    - embeddings
1216

1217

1218
- title: How to parse PDF docs for RAG
1219
  path: examples/Parse_PDF_docs_for_RAG.ipynb
1220
  date: 2024-02-28
1221
  authors:
1222
    - katiagg
1223
  tags:
1224
    - vision
1225
    - embeddings
1226

1227

1228
- title: Using GPT4 with Vision to tag and caption images
1229
  path: examples/Tag_caption_images_with_GPT4V.ipynb
1230
  date: 2024-02-28
1231
  authors:
1232
    - katiagg
1233
  tags:
1234
    - vision
1235
    - embeddings
1236

1237

1238
- title: How to use the moderation API
1239
  path: examples/How_to_use_moderation.ipynb
1240
  date: 2024-03-05
1241
  authors:
1242
    - teomusatoiu
1243
  tags:
1244
    - moderation
1245