Build Enterprise RAG (Retriver Augmented Generation) Pipelines to tackle various Generative AI use cases with LLM's by simply plugging componants like Lego pieces. This repo is intended for IBM Ecosystem partners.
- Jupyter Notebook
01Обновлено 7 месяцев назад
Using MongoDB Atlas + ActionWeaver, we can build a user proxy agent that efficiently retrieves and ingests relevant information. This agent presents the data to the user in an interactive and customizable manner, enhancing the overall user experience.
pythonopenairagembeddingsretrieval-augmented-generationpython3mongodbgenaiselenium-pythonvectorazure-openaigenai-chatbotgpt4alllangchain-pythonmongodb-atlas-searchplaywright-pythonpython-3- Python
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