Each project receives an isolated backend that includes PostgreSQL with pgvector, authentication, file storage, real-time services, an application programming … Each project receives an isolated backend that includes PostgreSQL with pgvector, authentication, file storage, real-time services, …
lead, company, job, and contact entities within a PostgreSQL database with pgvector extension support, exposing both standard Representational State Transfer … companies, jobs, contacts, and user profiles in a PostgreSQL database with pgvector support.Clean Architecture Design: Enforces stric…
published flows and a knowledge store on the customer's own PostgreSQL (pgvector) as tools, run on the model provider the customer connects, and can require … AI agent builder: agents use connectors, flows, a pgvector knowledge store, memory, other models, sub-agents, A2A and browser automati…
supports all the newer features that they supports. Postgres recently released PGVector a vector database for model embeddings and Google Cloud SQL already supports
what we need is image and text-based multimodal, and we store data in pgvector PostgreSQL vector embedding those data. For that, we need text and image