AgentDB Vector Search
CommunitySemantic vector search with AgentDB.
Authoradebold
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Implements vector-based semantic search using AgentDB's high-performance vector store to enable fast document retrieval, high-precision similarity matching, and context-aware querying for RAG workflows.
Core Features & Use Cases
- Vector Storage & Embedding: Store documents with embeddings automatically.
- Similarity Search: Retrieve highly similar documents quickly.
- Hybrid Search: Combine vector similarity with metadata filters for precise results.
- RAG & Retrieval Augmented Generation: Build systems that reference relevant context.
Quick Start
Initialize the vector store, index documents with embeddings, then run semantic queries against the dataset.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: AgentDB Vector Search Download link: https://github.com/adebold/warehouse-network/archive/main.zip#agentdb-vector-search Please download this .zip file, extract it, and install it in the .claude/skills/ directory.