mongodb-developer/mongodb-rag
A Powerful Retrieval Augmented Generation Tool for MongoDB Vector Search
Supports multiple embedding providers (OpenAI, Ollama) and advanced document chunking strategies (sliding window, semantic, recursive) for flexible RAG pipelines. Includes batch processing with retry logic, in-memory caching, and hybrid search combining vector similarity with metadata filtering. Provides a CLI scaffolding tool to generate complete Express-based RAG applications with pre-configured MongoDB Atlas integration and environment setup.
No commits in the last 6 months. Available on npm.
Stars
16
Forks
6
Language
JavaScript
License
MIT
Category
Last pushed
Mar 12, 2025
Monthly downloads
48
Commits (30d)
0
Dependencies
20
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