Turn a Postgres database into working memory for AI agents — relational rows, graph traversal and vector search fused into one ranked, token-budgeted context block.
Data & AnalyticsFreemium
Vector Database
Stores built for embeddings, indexing high-dimensional vectors for similarity search.
5 apps, 2 skills and 5 MCP servers tagged Vector Database.
Apps
An open-source AI-native database combining vector search, structured filtering, and built-in model integrations.
Data & AnalyticsFreemium
The embedding database that starts as a Python import and grows into a distributed cloud service.
Data & AnalyticsFreemium
An open-source vector search engine written in Rust — fast, memory-efficient, and self-hostable.
Data & AnalyticsFreemium
A fully managed vector database for semantic search and retrieval at billion-scale, with no infrastructure to run.
Data & AnalyticsFreemium
Skills
Weaviate's official skill for searching and managing vector collections — hybrid, semantic and keyword search, schema inspection, filtered fetches and bulk imports.
4 views
Skill: Qdrant Advisor
by Qdrant
Qdrant's meta-skill: instead of shipping static docs, it loads the current official Qdrant skill tree live from skills.qdrant.tech and diagnoses from that.
2 views
MCP servers
Weaviate's MCP server, built into the database itself — hybrid search, schema inspection, tenant listing and batch upserts at /v1/mcp, scoped by RBAC.
3 views
MCP: Milvus
by Zilliz
Search and manage Milvus vector collections from an AI client — vector, full-text, and hybrid queries.
3 views
MCP: Pinecone
by Pinecone
Pinecone's official MCP server — search and manage vector indexes, and query Pinecone's docs while you build.
4 views
MCP: Chroma
by Chroma
Chroma's official MCP server — build and query vector collections directly from an AI client.
4 views
MCP: Qdrant
by Qdrant
Qdrant's official MCP server — semantic memory for AI assistants backed by a real vector database.
2 views
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