AI
LangChain & pgvector
Retrieval is what separates an AI demo from an AI product. pgvector puts semantic search inside the Postgres you already run, and orchestration frameworks like LangChain structure the pipelines around it — chunking, embedding, retrieval and generation as engineered, testable steps.
RAG pipelinessemantic search
Why we reach for it
- Semantic search inside PostgreSQL — no separate vector database to run
- RAG pipelines with sources cited, so answers stay verifiable
- Structured orchestration instead of prompt spaghetti
- Retrieval quality measured and tuned like any other system
Related technologies
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