6 verified tools
Vector stores and RAG infrastructure.
Showing 1–6 of 6
Open-source backend platform (auth, database, storage, functions) increasingly pitched as the data layer under AI agents and RAG apps.
Turns documents and past sessions into a graph-plus-vector memory that AI agents can query across runs.
Open-source search engine with vector storage and hybrid keyword-plus-semantic retrieval, self-hosted or run as a cloud service
Managed vector database for similarity search over billions of embeddings, with serverless and BYOC options
Postgres backend bundled with a RAG pipeline, agent runtime and a visual workflow builder
Builds an open-source, Postgres-based memory engine that gives AI agents relational, vector, and graph retrieval.
