mongodb-developer/Google-Cloud-RAG-Langchain
RAG Chat Assistant with MongoDB Atlas, Google Cloud and Langchain
Implements vector search on MongoDB Atlas with Google Cloud's Vertex AI embeddings and Gemini LLM, processing PDF documents through an automated embedding pipeline. The Angular frontend communicates with an Express.js backend via Langchain, enabling togglable RAG vs. retrieval-only modes for context-aware question answering. Demonstrates end-to-end semantic search by storing vectorized documents in Atlas and executing euclidean-similarity queries against indexed embedding fields.
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26
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12
Language
TypeScript
License
Apache-2.0
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Last pushed
Mar 26, 2025
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