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2 production projects and 0 rule sets built with Qdrant.
Production projects
- LLM Knowledge Base & RAG Platform Classic WeKnora Retrieval, agents and the API sit in one Go service, and parsing is delegated to a Python gRPC service. Storage backends are pluggable, so the same codebase runs as a lite SQLite binary or a full Kubernetes deployment on existing Postgres, Elasticsearch or vector databases.
- AI Memory & Context Engine AI-agent Mem0 Keeping the core library provider-agnostic through optional dependency groups, while the hosted server bundles a fixed set of vector stores, LLM providers, auth, and rate limiting behind its own FastAPI app, lets self-hosters install a minimal footprint without forking the managed-service code path.
Often used with Qdrant
Questions about Qdrant
How many production projects use Qdrant?
2 verified production projects in the STACK IT FAST directory use Qdrant, each with a full architecture breakdown.
What is Qdrant most often used with?
Across projects in the directory, Qdrant is most commonly paired with Python, PostgreSQL, Redis.