AgentDB Vector Search - Semantic Vector Search with AgentDB
Implements vector-based semantic search using AgentDB for document retrieval and similarity matching
Tags
Updated: 2026-05-11Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Initialize vector database
- Store document vectors
- Query vector similarity
- Import vector data
- Export vector data
- Filter by metadata
- Batch store vectors
- Generate embeddings
- Compute similarity scores
- Retrieve search results
Inputs
- Vector data
- Document text
- Query text
- OpenAI API key
- Embedding model
- Database path
- Metadata filters
- Similarity threshold
Outputs
- Search results
- Similarity scores
- Exported JSON files
- Database statistics
- Vector embeddings
- Retrieved documents
Requirements
- Node.js 18+
- AgentDB v1.0.7+
- HNSW indexing support