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Author SHA1 Message Date
dimgigov 55bc3e862a feat(langchain): Session 10.2 — LangChain Vector Store (Python + JS) 
- BaraDBStore for Python: add_texts, similarity_search, max_marginal_relevance_search, delete
- BaraDBStore for JS: addDocuments, addTexts, similaritySearch, maxMarginalRelevanceSearch, delete
- Both use hybrid_search() / hybrid_search_filtered() for vector+FTS+RRF
- Multi-tenant support via tenant_id session variable + metadata filter
- Embedding function is injected by user (OpenAI, sentence-transformers, etc.)
- MMR reranking for result diversity
 2026-05-17 13:46:42 +03:00