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, …
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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…
enterprise’s private cloud or on-premises infrastructure, integrating a pgvector database to execute secure vector search without transferring corporate … data residency. Technical SpecificationsDatabase Architecture: Self-hosted pgvector semantic search index.Access Control: Full permission …
WorkloadsCockroachDB includes native support for the VECTOR data type and pgvector API compatibility, enabling storage and retrieval of high-dimensional embeddings
agents: Knowledge bases in which documents are chunked and embedded in a pgvector database for retrieval-augmented generation, plus custom tools, personas
