Embeddings
Vector embeddings generation and management
Overview
The embeddings module generates and manages vector embeddings for semantic search and similarity matching. It enables agents to work with high-dimensional vector representations of data.
Features
- Embedding Generation: Generate embeddings for text and data
- Embedding Storage: Store embeddings efficiently
- Similarity Search: Perform similarity searches using embeddings
- Embedding Management: Manage embedding models and versions
Usage
Embeddings enable semantic search and similarity matching, allowing agents to find relevant information based on meaning rather than exact matches.
Integration
Embeddings integrate with:
- Vector: Store embeddings in vector databases
- Documents: Generate embeddings for documents
- Memory: Use embeddings for semantic memory retrieval