Qdrant

https://qdrant.tech/

Distribution-Based Score Fusion + RRF. Sparse vectors native; filtering via ANN graph modification.

Active · Verified 2026-10-26 · fresh as of 2026-10-26 · 60 cited facts, 4 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Tier
T1
Created
2020-05 repo fix
Latest release
v1.19.2 (2026-10-05) repo fix
License
Apache-2.0 repo fix
Freshness
2026-10-26 fix
Layer
model-infra repo fix
Licensing
open-source repo fix
Deployment locus
hybrid vendor fix
Platform vs product
platform vendor fix
Protocols
mcp-server vendor fix
Compliance
gdpr, hipaa, soc2-type2 vendor fix

When to use

Optimised for: low-latency similarity search + scale

Anti-fit: not for relational / graph-heavy queries (vector-first by design)

Pros & cons

Pros

Rust-built — fastest of the OSS vector DBs in many benchmarks; strong filtering and hybrid search; clean API.

Cons

Smaller managed-cloud presence than Pinecone; ecosystem of integrations still maturing relative to Weaviate.

Claims & capabilities

Maintains official benchmark suite (qdrant/benchmark + qdrant/vector-db-benchmark); added 35 new integrations in 2025 including official n8n node; uses ann-benchmarks dataset for cross-engine comparisons

Technical surface

API surface
REST, gRPC, SDK: Python, JS/TS, Rust, Go, Java, C#
Backend storage
custom (Rust-built HNSW + RocksDB metadata)
Deployment
Both (self-hosted + managed cloud) — OSS engine; Qdrant Managed Cloud, Hybrid Cloud and Private Cloud
Embedding model
BYO
Multi-tenancy
Hardened unprivileged container per cluster with strict network policies; outbound restricted; paid plans on dedicated resources; Private Cloud option for air-gap
MCP
yes — official qdrant/mcp-server-qdrant (GitHub, Apache-2.0)
A2A
no Google A2A (Agent2Agent) integration documented as of 2026-05.
OpenTelemetry
first-class — Prometheus + OTel

Compare Qdrant with…

Similar systems

Other vector-database infrastructure in the catalog, ranked by inbound references.

  • Chroma T1

    Limited native hybrid (users build RRF custom). Fast Rust core (v2.5). Acquired by Replit (definitive agreement announced 2026-10-23); Chroma Cloud is winding down (writes disabled 2026-11-22, reads disabled 2026-12-22) while open-source ChromaDB continues under Apache-2.0.

  • pgvector T1

    Stores embeddings alongside relational + full-text data. HNSW + IVFFlat ANN indexes. Used as agent conversation memory via LangChain + MCP. Foundation of Supabase AI and many self-hosted RAG stacks.

  • Weaviate T1

    Hybrid Search 2.0 with learned ranking. BM25 + vector in unified index.

  • Milvus T1

    Multi-vector columns (10 simultaneous). Native hybrid search (v2.5). CAGRA + Vamana GPU/CPU (v2.6).

  • Pinecone T1

    Managed vector DB. Cascading sparse + dense + rerank pipeline; pinecone-rerank-v0 .

  • MongoDB Atlas Vector Search T1

    Agent memory store for both short-term (document) and long-term (vector). LangGraph checkpointer for stateful agents. Vector search extended to Community Edition (Sept 2025).

Sources (59 cited facts, 4 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-26
    • Latest release “v1.17.1 2026-03-27” → “v1.19.2 (2026-10-05)” source
    • Pricing “Free + paid” → “Free tier forever (single node, 1 GB RAM / 4 GB disk); Standard usage-based hourly billing; Premium has minimum spend; Hybrid/Private Cloud via sales” source
    • Deployment “Both” → “Both (self-hosted + managed cloud) — OSS engine; Qdrant Managed Cloud, Hybrid Cloud and Private Cloud” source
    • MCP support “via official adapter — mcp-server-qdrant” → “yes — official qdrant/mcp-server-qdrant (GitHub, Apache-2.0)” source
    #258

Related systems

References (30)

  • AutoGen / AG2 integrates with — Qdrant's documentation has a AutoGen / AG2 integration page. (verified 2026-10-29)
  • CAMEL integrates with — Qdrant's documentation has a CAMEL integration page. (verified 2026-10-29)
  • Cognee integrates with — Qdrant's documentation has a Cognee integration page. (verified 2026-10-29)
  • Cohere Embed integrates with — Qdrant's documentation has a Cohere Embed integration page. (verified 2026-10-29)
  • Confident AI / DeepEval integrates with — Qdrant's documentation has a Confident AI / DeepEval integration page. (verified 2026-10-29)
  • CrewAI integrates with — Qdrant's documentation has a CrewAI integration page. (verified 2026-10-29)
  • Dagster integrates with — Qdrant's documentation has a Dagster integration page. (verified 2026-10-29)
  • DSPy integrates with — Qdrant's documentation has a DSPy integration page. (verified 2026-10-29)
  • Genkit integrates with — Qdrant's documentation has a Genkit integration page. (verified 2026-10-29)
  • Google Agent Development Kit (ADK) integrates with — Qdrant's documentation has a Google Agent Development Kit (ADK) integration page. (verified 2026-10-29)
  • Google Gemini 3 family integrates with — Qdrant's documentation has a Google Gemini 3 family integration page. (verified 2026-10-29)
  • GraphRAG (Microsoft) integrates with — Qdrant's documentation has a GraphRAG (Microsoft) integration page. (verified 2026-10-29)
  • Haystack (framework) integrates with — Qdrant's documentation has a Haystack (framework) integration page. (verified 2026-10-29)
  • Jina AI Embeddings integrates with — Qdrant's documentation has a Jina AI Embeddings integration page. (verified 2026-10-29)
  • LangChain (framework) integrates with — Qdrant's documentation has a LangChain (framework) integration page. (verified 2026-10-29)
  • LangGraph (orchestration) integrates with — Qdrant's documentation has a LangGraph (orchestration) integration page. (verified 2026-10-29)
  • LlamaIndex (framework) integrates with — Qdrant's documentation has a LlamaIndex (framework) integration page. (verified 2026-10-29)
  • Mastra integrates with — Qdrant's documentation has a Mastra integration page. (verified 2026-10-29)
  • Mem0 integrates with — Qdrant's documentation has a Mem0 integration page. (verified 2026-10-29)
  • Mistral Embed integrates with — Qdrant's documentation has a Mistral Embed integration page. (verified 2026-10-29)
  • Mixedbread AI integrates with — Qdrant's documentation has a Mixedbread AI integration page. (verified 2026-10-29)
  • n8n (AI agent flows) integrates with — Qdrant's documentation has a n8n (AI agent flows) integration page. (verified 2026-10-29)
  • Neo4j integrates with — Qdrant's documentation has a Neo4j integration page. (verified 2026-10-29)
  • Nomic Embed integrates with — Qdrant's documentation has a Nomic Embed integration page. (verified 2026-10-29)
  • OpenAI Embeddings integrates with — Qdrant's documentation has a OpenAI Embeddings integration page. (verified 2026-10-29)
  • OpenLLMetry (Traceloop) integrates with — Qdrant's documentation has a OpenLLMetry (Traceloop) integration page. (verified 2026-10-29)
  • Phidata (now Agno) integrates with — Qdrant's documentation has a Phidata integration page. (verified 2026-10-29)
  • smolagents (Hugging Face) integrates with — Qdrant's documentation has a smolagents (Hugging Face) integration page. (verified 2026-10-29)
  • Spring AI ChatMemory integrates with — Qdrant's documentation has a Spring AI ChatMemory integration page. (verified 2026-10-29)
  • Voyage AI (MongoDB) integrates with — Qdrant's documentation has a Voyage AI (MongoDB) integration page. (verified 2026-10-29)

Referenced by (23)

  • Agno (Phidata) Memory integrates with — Single-line integrations with LanceDB, Pinecone, Weaviate, Qdrant.
  • Arize Phoenix integrates with — Arize Phoenix docs have a Qdrant integration page. (verified 2026-10-29)
  • Bifrost (Maxim AI) integrates with — Bifrost docs have a Qdrant vector-database integration page for semantic caching. (verified 2026-10-29)
  • Cohere Embed integrates with — Cohere docs "Integrating Embedding Models with Other Tools": Qdrant and Cohere guide. (verified 2026-10-29)
  • CrewAI integrates with — CrewAI docs have a Qdrant vector search tool page. (verified 2026-10-29)
  • Dify integrates with — Dify self-host VECTOR_STORE supports `qdrant` as the knowledge-base vector store. (verified 2026-10-29)
  • Google Agent Development Kit (ADK) integrates with — ADK integrations catalog has a "Qdrant MCP tool for ADK" page (Store and retrieve information using semantic vector search). (verified 2026-10-29)
  • Haystack (framework) integrates with — Haystack integrations directory has a Qdrant integration page ("Use the Qdrant vector database with Haystack"). (verified 2026-10-29)
  • LangChain (framework) integrates with — LangChain docs have a Qdrant integration provider page (Vector similarity search engine). (verified 2026-10-29)
  • Langflow integrates with — Langflow components bundle: Qdrant vector store component. (verified 2026-10-29)
  • LangGraph (orchestration) integrates with — LangChain integrations index lists QdrantStore, a Qdrant BaseStore for LangGraph long-term memory (langgraph-store-qdrant). (verified 2026-10-29)
  • LlamaIndex (framework) integrates with — LlamaIndex has an official vector store integration package llama-index-vector-stores-qdrant in its repo. (verified 2026-10-29)
  • Mastra integrates with — Mastra repo ships the @mastra/qdrant vector store package. (verified 2026-10-29)
  • Mem0 integrates with · depends on at runtime — adjacent-infrastructure cell: BYO LLM provider; bundles vector store (Qdrant default) and graph store (Neo4j optional)
  • Mem0 Security / OpenMemory builds on — OpenMemory is the local self-hosted variant (Docker + FastAPI + Postgres + Qdrant)
  • Microsoft Semantic Kernel integrates with — Semantic Kernel docs list an out-of-the-box Qdrant vector store connector. (verified 2026-10-29)
  • n8n (AI agent flows) integrates with — n8n built-in AI cluster node: Qdrant Vector Store node. (verified 2026-10-29)
  • n8n AI Agent Memory integrates with — vector store nodes (Qdrant, Pinecone, MongoDB Atlas) for semantic recall
  • OpenLLMetry (Traceloop) integrates with — OpenLLMetry's What's Supported page lists Qdrant as instrumented out of the box. (verified 2026-10-29)
  • OpenMemory (now LongMemory) depends on at runtime — adjacent-infrastructure cell: BYO LLM; self-hosted Postgres + Qdrant
  • OpenMemory MCP builds on — Local Postgres + Qdrant cross-tool memory
  • Phidata (now Agno) integrates with — Agno ships a qdrant vector DB integration module (agno.vectordb.qdrant). (verified 2026-10-29)
  • Portkey AI integrates with — Portkey docs have a Qdrant vector database integration page. (verified 2026-10-29)