LangChain and pgvector: Building High-Performance Vector Search with Postgres
Large Language Models (LLMs) are brilliant at language generation and reasoning, but they still need access to external knowledge for reliable, up-to-date answers. A vector database lets you store text (or any other media) as embeddings—high-dimensional numeric vectors—so you can retrieve semantically related content. pgvector brings first-class vector search directly into PostgreSQL. LangChain, meanwhile, has … Read more