Popular GitHub Repositories for Vector Store

Chat and Ask on your own data. Accelerator to quickly upload your own enterprise data and use OpenAI services to chat to that uploaded data and ask questions

Semantic product search on Databricks

Sample Spring AI Application with several use cases

just testing langchain with llama cpp documents embeddings

A Question Generation Application leveraging RAG and Weaviate vector store to be able to retrieve relative contexts and generate a more useful answer-aware questions

A command-line tool that ingests documents and generates instant answers to your questions about those documents using ChatGPT, giving you the Sheldon Cooper you never had at your fingertips.

[OSDI'25] Achieving Low-Latency Graph-Based Vector Search via Aligning Best-First Search Algorithm with SSD

AI Data Assistant empowers data professionals by speaking both human language and machine langauges (SQL/Python)

CrateDB provider for LangChain.

Orchestrating the interaction between users and Large Language Models

A Question Answering(Q/A) Chatbot on Insurance Documents. Powered by Retrieval Augmented Generation(RAG), LlamaIndex and LangChain. Inspired from my Upgrad_IIITB PG Course.

Thai Recipes AI is an innovative AI-powered assistant dedicated to Thai cuisine. It combines cutting-edge natural language processing with document retrieval and web search functionalities, delivering precise, concise, and valuable answers to users' inquiries about Thai recipes, ingredients,

Incorporar distintos tipos de documentos simultáneamente a la base de datos de embeddings Chroma con LangChain.

A comprehensive guide to advanced RAG techniques including reranking, deep memory, and vector store optimization. Includes practical implementations and best practices using LlamaIndex, Langchain, etc..

A Question Answering(Q/A) Chatbot on Insurance Documents. Powered by Retrieval Augmented Generation(RAG) and LlamaIndex. Inspired from my Upgrad_IIITB PG Course.

[Kaggle] 5-Day Gen AI Intensive Course with Google