GitHub / jonathanscholtes / LangChain-RAG-Pattern-with-React-FastAPI-and-Cosmos-DB-Vector-Store
Complete project (web, api, data) covering the implementation of the RAG (Retrieval Augmented Generation) pattern using Azure Cosmos DB for MongoDB vCore and LangChain. The RAG pattern combines leverages the new vector search capabilities for Azure Cosmos DB.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jonathanscholtes%2FLangChain-RAG-Pattern-with-React-FastAPI-and-Cosmos-DB-Vector-Store
PURL: pkg:github/jonathanscholtes/LangChain-RAG-Pattern-with-React-FastAPI-and-Cosmos-DB-Vector-Store
Stars: 13
Forks: 6
Open issues: 0
License: mit
Language: Python
Size: 66.3 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: 27 days ago
Pushed at: over 1 year ago
Last synced at: 8 days ago
Topics: azurecosmosdb, langchain, langchain-python, python-fastapi, rag, reactjs