Document Retrieval Python Packages

kb-arena

Benchmark 9 retrieval architectures (vector, contextual, QnA, knowledge graph, hybrid, RAPTOR, PageIndex, BM25, rerank) on your own docs. Automated hyperparameter search with bootstrap CIs and significance tests.

vearch

Distributed vector search for AI-native applications

langchain-rag-wiki

RAG meets wiki-style provenance. Surfaces documents, learns from usage, and lets users build personal knowledge bases on top of shared vector stores.

pyvearch

Distributed vector search for AI-native applications

iotadb

Minimal implementation of a local embedding database

vearch-cluster

Distributed vector search for AI-native applications

longprobe

Sub-second RAG regression testing. Define golden questions, detect lost chunks in CI. pytest for your RAG pipeline.