AgentDB Vector Search - Semantic vector search with AgentDB
Implements vector-based semantic search using AgentDB for document retrieval, similarity matching, and context-aware querying.
Tags
Updated: 2026-09-20Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Initialize vector database
- Query vector database
- Export vectors to JSON
- Import vectors from JSON
- Perform hybrid search
- Store documents with embeddings
Inputs
- Vector embeddings
- Vector database file
- Text documents
- JSON backup file
Outputs
- Vector database file
- Search results
- JSON export file
- Database statistics
Requirements
- Node.js 18+
- AgentDB v1.0.7+
- OpenAI API key or custom embedding model