Vector Stores in LangChain: Embeddings, Semantic Search & Similarity Retrieval

Learn how vector stores work in LangChain, from embeddings and similarity search to using Chroma for storing, querying, filtering, and managing high-dimensional vector data in RAG and recommendation systems.

January 23, 2026 · 6 min · 1082 words · Nirajan Khatiwada