Integrate txtai with Postgres

txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows.

The default persistence methods for txtai are local and file-based. SQLite for content, Faiss for vectors and NetworkX for graph data. The main value add of txtai is getting up and running quickly with a minimal amount of external dependencies.

Another key feature of txtai is being able to quickly move from prototyping to production. This article will demonstrate how txtai can integrate with Postgres …

ai data database dependencies embeddings faiss file graph graph data language language model llm networkx orchestration persistence postgres rag running search semantic sqlite value vectordatabase vectors workflows