5 articles with this tag
Use LangChain with ChromaDB for persistent local embeddings — setup, metadata filtering, similarity search, and collection management with full Python code.
Master LangChain's Indexing API with RecordManager for deduplication, incremental sync, and deletion cleanup in production vector store pipelines.
Build a complete RAG pipeline with LangChain, Chroma, and OpenAI embeddings — document loading, chunking, vector storage, and retrieval in one guide.
Use LangChain with Redis for low-latency AI responses. Covers RedisCache, RedisSemanticCache, RedisVL vector search, and a Redis vs alternatives comparison.
Master LangChain's 5 core retriever types — SimilaritySearch, MMR, ContextualCompression, MultiVectorRetriever, and SelfQueryRetriever — with code, benchmarks, and guidance.
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