#PostgreSQL #in-process with #vectorsearch extensions directly #embedded in your #Python app. #OpenSource Apache 2.0 lic

- Similarly search: #pgvector + #pgvectorscale, high-performance storage
- #FullText search: #pg_textsearch, #BM25 and #ranking
#AI #LLM #Embeddings #Agents #RAG

En #RAG, el retrieval muchas veces define la calidad de la respuesta. Y no hay una «mejor vector database».

Si ya tienes PostgreSQL, #pgvector puede bastar. Para búsqueda híbrida, Qdrant, Weaviate o Elasticsearch. Con escala de verdad, Milvus, Pinecone o Vespa.

Do not overcomplicate your tech stack with separate vector stores.

PostgreSQL with pgvector allows you to combine relational joins, JSON storage, and vector similarity search within a single database.

#PostgreSQL #pgvector #AIAgents #DataArchitecture #Database

pgvectorscale 0.9.1 hardens DiskANN against type confusion and malformed vector datums. Backend crash, memory disclosure and out-of-bounds write were all reachable.

github.com/timescale/pg...

pgexperts.com

#PostgreSQL #pgvector #RAG