Qdrant
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/
ai-search
ai-search-engine
embeddings-similarity
hnsw
hybrid-search
image-search
knn-algorithm
machine-learning
mlops
nearest-neighbor-search
neural-network
neural-search
recommender-system
search
search-engine
search-engines
similarity-search
vector-database
vector-search
vector-search-engine
Updated 2026-11-06 01:04:45 +00:00
Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, Java
agent-skills
ai-agents
claude-code
codex
cursor
embeddings
hybrid-search
monitoring
multitenancy
performance
qdrant
quantization
scaling
search-quality
vector-database
vector-search
Updated 2026-11-05 11:06:50 +00:00
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Updated 2026-11-04 00:57:13 +00:00
Python client for Qdrant vector search engine
Updated 2026-11-03 09:46:06 +00:00
Official n8n node for interfacing with Qdrant
Updated 2026-11-03 07:44:07 +00:00
JavaScript/Typescript SDK for Qdrant Vector Database
Updated 2026-10-31 08:02:33 +00:00
An official Qdrant Model Context Protocol (MCP) server implementation
Updated 2026-09-04 00:13:51 +00:00