The platform for customizing AI from enterprise data
llmmachine-learningaihacktoberfestchatbotgptsemantic-searchartificial-intelligencehuggingfacemlmongodbpostgresdatabasegpt4allai-agentsauto-gptforecastingmysqltimeseries- Python
01Обновлено 7 месяцев назад
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
llmopenaichatgptchatbotllamalangchaingptsemantic-searchmilvuschatgpt-apiredisvector-searchsimilarity-searchllama-indexaigcautogptbabyagidollymemcache- Python
01Обновлено 6 месяцев назад
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
vector-databasesemantic-searchmlopsinformation-retrievalvector-searchapproximate-nearest-neighbor-searchnearest-neighbor-searchsimilarity-searchhnswimage-searchsearch-engineneural-searchrecommender-systemvector-search-engineweaviategenerative-searchgrpchybrid-searchsemantic-search-enginevectors- Go
01Обновлено 6 месяцев назад
MTEB: Massive Text Embedding Benchmark
semantic-searchinformation-retrievaltext-classificationneural-searchbenchmarktext-embeddingsentence-transformersclusteringretrievalbitext-miningmultilingual-nlprerankingsbertsgptsts- Python
01Обновлено 6 месяцев назад
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
pythonaimachine-learningtransformerslanguage-modelnlppytorchbertchatgptgenerative-aigpt-3large-language-modelsinformation-retrievalquestion-answeringsemantic-searchsquadsummarization- Python
01Обновлено 8 месяцев назад
Efficient Retrieval Augmentation and Generation Framework
llmtransformersnlpquestion-answeringgenerative-aiinformation-retrievalsemantic-searchdiffusionsummarizationbenchmarkcolbertknowledge-graphmulti-modalsentence-transformers- Python
01Обновлено 7 месяцев назад
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
pythonllmmachine-learningnlplarge-language-modelstransformerslanguage-modelragembeddingsvector-databasesemantic-searchretrieval-augmented-generationinformation-retrievalvector-searchneural-searchsearch-enginesearchvector-search-enginesentence-embeddingstxtai- Python
00Обновлено 5 месяцев назад
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
pythonmachine-learningaitransformerspytorchnlplarge-language-modelsbertquestion-answeringgenerative-airagembeddingsinformation-retrievalsemantic-searchretrieval-augmented-generationembedding-vectorsfaissmilvusparsing- Python
00Обновлено 7 месяцев назад
Here you can find all the Tutorials for Haystack 📓
- Jupyter Notebook
00Обновлено 7 месяцев назад
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
- Jupyter Notebook
00Обновлено 7 месяцев назад
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere) using AWS CDK on AWS
llmlangchainchatbotsemantic-searchhuggingfaceawsgenaiopensearchopensearch-serverlesspgvectorsagemakervectordbamazon-bedrockaurorabedrockcdkideficskendra- TypeScript
00Обновлено 7 месяцев назад