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Optional Postgres extension used for content embeddings, never the CMS's system of record.
Optional Postgres extension used for content embeddings, never the CMS's system of record.
Alex OS's embeddings store, only when database_url is configured.
Alex OS's embeddings store, only when database_url is configured.
pgvector stores content embeddings for Alex OS's retrieval layer — used only when a Postgres database is configured, not as a CMS replacement.
pgvector
An optional Postgres extension that adds vector similarity search. In Alex's stack, it holds embeddings for the Alex OS project — activated only when a database_url is present, keeping it a targeted tool rather than a core dependency.
How it's used
Serves as the embeddings store inside Alex OS, the FastAPI reasoning and retrieval layer that sits between the CMS and the public site. Vectors stored here power grounded, journey-aware answers — but the CMS remains the system of record.
Practical context
Experience level is working knowledge, confirmed through active use in the Alex OS project. If you're curious about the broader retrieval architecture this feeds into, Alex's RAG & Knowledge Retrieval expertise covers how embeddings connect to the full pipeline.