LangChain Chroma

LangChain Chroma is an adapter that connects the LangChain framework to Chroma, an open-source, serverless vector database optimized for rapid prototyping. Using Chroma.from_documents, developers break text into chunks, create embeddings, and store them on disk as Parquet files and SQLite metadata. Query-time calls like similarity_search return the top-k vectors in milliseconds, powering Retrieval-Augmented Generation (RAG) pipelines without external cloud costs. Namespace isolation supports multi-tenant SaaS, while in-process operation keeps data GDPR-compliant. Because Chroma implements LangChain’s VectorStore interface, teams can replace it with Pinecone, FAISS, or Milvus with a single line of code, scaling from a laptop to a cluster as traffic grows. Observability callbacks record search latency and recall, and BM25+vector hybrid search is provided via a filter parameter. Thus, LangChain Chroma provides zero configuration and low latency for chatbots, code assistants, and analytics agents.