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Qdrant

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Qdrant is an open source vector database and similarity search engine written in Rust. It offers production-ready APIs to store, search, and manage high-dimensional vector embeddings with payload-based filtering, powering recommendation engines, semantic search, and AI agent memory systems.

Here are 120 public repositories matching this topic...

agentic-task-system

CLI + MCP for agent context: a task layer over TickTick, Notion, GitHub, Obsidian & more (RRF retrieval, provenance, reviewed writes, undo) plus a knowledge-graph layer — ats kg: facts from any source, human-ratified. Recommended engines: Graphiti (server), LadybugDB (embedded).

  • Updated Oct 18, 2026
  • JavaScript

A self-hosted enterprise search engine that ingests any file type, retrieves with true hybrid search, links everything in a rich knowledge graph, and answers questions locally with verifiable citations — all offline, zero API cost.

  • Updated Aug 7, 2026
  • JavaScript

Created by qdrant

Latest release 15 days ago

Followers
5 followers
Repository
qdrant/qdrant
Website
github.com/topics/qdrant

Related topics

database embeddings machine-learning rust vector-search