intersystems-community/iris-vector-rag
Enterprise RAG pipelines with native IRIS vector search. 6 production implementations with RAGAS evaluation, LangChain, AWS/Azure configs. No external VectorDB required.
Implements six modular RAG architectures (basic, reranking, CRAG, GraphRAG, multi-query fusion, ColBERT) with unified LangChain/RAGAS-compatible APIs enabling single-line pipeline switching. Native IRIS vector search uses HNSW indexing with automatic schema management, connection pooling, and ACID transaction support, eliminating external vector database dependencies. Integrates with LangChain, RAGAS evaluation metrics, and cloud deployments (AWS/Azure) while supporting advanced retrieval strategies including cross-encoder reranking, knowledge graph fusion, and late-interaction embeddings.
Available on PyPI.
Stars
4
Forks
2
Language
Python
License
MIT
Category
Last pushed
Mar 10, 2026
Monthly downloads
271
Commits (30d)
0
Dependencies
23
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