Qdrant
by Community
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
OSS
Qdrant
Added 1 June 2026
Overview
Qdrant is a vector database and search engine written in Rust, designed for storing and querying high-dimensional embeddings at scale. It provides similarity search capabilities for AI applications and supports both self-hosted and cloud deployment options.
Best for
Best for
Builders needing fast, scalable vector search for embeddings in production AI systems
Use cases
- Semantic search over document embeddings
- Recommendation systems based on vector similarity
- RAG pipeline vector storage and retrieval
Notes
Qdrant is a vector database and search engine written in Rust, designed for storing and querying high-dimensional embeddings at scale. It provides similarity search capabilities for AI applications and supports both self-hosted and cloud deployment options.
31,735 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.
Use cases
- Semantic search over document embeddings
- Recommendation systems based on vector similarity
- RAG pipeline vector storage and retrieval
Pros
- High performance written in Rust with low latency
- Handles massive scale with efficient indexing
- Open source with active community (31k+ stars)
Cons
- Requires operational overhead for self-hosted deployments
- Learning curve for vector database concepts and tuning
- Ecosystem smaller than established SQL databases
Indexed from awesome-llmops and enriched against its public facts.
Pros
- High performance written in Rust with low latency
- Handles massive scale with efficient indexing
- Open source with active community (31k+ stars)
Cons
- Requires operational overhead for self-hosted deployments
- Learning curve for vector database concepts and tuning
- Ecosystem smaller than established SQL databases
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Milvus
Community
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Chroma
Community
Search infrastructure for AI
Weaviate
Community
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance an
pgvector
Community
Open-source vector similarity search for Postgres
ChrisGVE/workspace-qdrant-mcp
Various
Project-scoped Qdrant MCP server for workspace collections with scratchbook functionality. Python port of claude-qdrant-mcp with FastEmbed and project-aware collection management.
elvismdev/mem0-mcp-selfhosted
Various
Self-hosted mem0 MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j + Ollama while using Claude as the main LLM.
nicholasglazer/gnosis-mcp
Various
Zero-config MCP server for searchable documentation (SQLite default, PostgreSQL optional)
qdrant/mcp-server-qdrant
Various
An official Qdrant Model Context Protocol (MCP) server implementation
rocketride-org/rocketride-server
Various
High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent
shinpr/mcp-local-rag
Various
Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.
sirmews/mcp-pinecone
Various
Model Context Protocol server to allow for reading and writing from Pinecone. Rudimentary RAG
VoxellInc/forge-mcp
Various
[](https://glama.ai/mcp/servers/VoxellInc/forge-mcp) 🎖️ 📇 ☁️ - Official MCP server for Forge, Voxell's hosted text-embedding API. Generate vector embeddings (turbo 1024d, pro 256
Embedchain
Community
Universal memory layer for AI Agents
Llmware
Community
Unified framework for building enterprise RAG pipelines with small, specialized models
Semantic Cache Router
Community
Distributed semantic cache and stateful routing system that cuts LLM API costs by returning cached responses for semantically similar queries. Uses ANN vector search (cosine ≥ 0.8)
semantic-coverage
Community
Automated detection of knowledge gaps and blind spots in RAG vector stores.
apecloud/ApeRAG
Various
ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment
Airweave
Community
Open-source context retrieval layer for AI agents
Awadb
Community
AI Native database for embedding vectors
Clip-as-a-service
Community
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
currentslab/awesome-vector-search
Community
Collections of vector search related libraries, service and research papers
LlamaIndex
LlamaIndex
The data framework for LLM apps. RAG, ingestion, structured extraction, agents over your data.
LLMApp
Community
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, re
RagTune
Community
EXPLAIN ANALYZE for RAG retrieval — inspect, debug, benchmark, and tune your retrieval layer
Search with Lepton
Community
Building a quick conversation-based search demo with Lepton AI.
talkd.ai dialog
Community
RAG LLM Ops App for easy deployment and testing
Text-Embeddings-Inference
Community
A blazing fast inference solution for text embeddings models
Vearch
Community
Distributed vector search for AI-native applications
AquilaDB
Community
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
Awadb
Community
AI Native database for embedding vectors
Chroma
Community
Search infrastructure for AI
deeplake
Community
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Marqo
Community
Ecommerce Search and Discovery - marqo.ai
Milvus
Community
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
pgvector
Community
Open-source vector similarity search for Postgres
Pinecone
Community
Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.
Rivestack
Community
Managed pgvector on dedicated PostgreSQL with NVMe storage. 2,000 QPS at sub-4ms p50, from $35/month, migration help from Supabase, Neon, Pinecone, and self-hosted.
Vald
Community
Vald. A Highly Scalable Distributed Vector Search Engine
Vearch
Community
Distributed vector search for AI-native applications
Weaviate
Community
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance an
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.