AI Agent Skills

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

Python SDK for Milvus Vector Database

Guides day-to-day operation of vector databases — index configuration, sharding/replication for scale and availability, and upsert/query performance tuning — with concre…

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

The Best GUI for Milvus

Production-grade RAG API built in Rust. Hybrid search with HNSW dense vectors and BM25 sparse matching, cross-encoder reranking, layout-aware document extraction via Doc…

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Milvus.

Use when the user needs something that ships outside cognee core — community database adapters (Qdrant, Milvus, Weaviate, Redis, Pinecone, FalkorDB, Memgraph, DuckDB, Ne…

本项目是一个基于 RAG 的生猪健康管理智慧医药系统，集成了 AI 兽医诊断、疾病管理、药品管理、文章资讯管理等功能模块，旨在通过数字化手段提升生猪养殖的医疗管理水平。系统基于 Spring Boot 3 + Spring AI + Milvus + MySQL 8 + MyBatis-Plus + Ollama / DeepSeek…

Guides use of the Qdrant Migration Tool CLI to move vectors, metadata, and sparse embeddings from another vector database into Qdrant. Use when someone asks 'how do I mi…

Validates a vector index's schema/dimension/distance-metric config and its actual recall/query-performance behavior before a production cutover — catching a mismatch tha…