6 boosters for "vector-database" — open source, verified from GitHub, ready to install
Read and follow the instructions in documentation/AI-CODE.md.
"description": "Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage",
"description": "Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash commands like /quickstart to generate AGENTS.md files and initialize Python projects and /query to quickly explo
"name": "rag-skills", "description": "Agent skills for RAG (Retrieval Augmented Generation): chunking strategies (sliding window, semantic, hierarchical), retrieval strategies (HyDE, CRAG, Self-RAG, Graph RAG, adaptive, multi-pass), vector database setup (Qdrant), data type handling (code, multimoda
A memory management system for AI agents using Qdrant vector database, enabling persistent semantic storage and retrieval of information across Claude conversations.
Claude Codemem is a local code indexing and semantic search tool that integrates with Claude Code via MCP, enabling developers to quickly find and understand relevant code across large codebases. It benefits developers working on complex projects who need fast, context-aware code retrieval without relying on external APIs.
