Unified Vector Repositories

Description

Implement the Unified Vector Repositories, a system for storing and querying vector embeddings of file content and metadata. This is the foundation of the semantic search capabilities.

Implementation Steps

1. Choose a vector database or library for storing and querying vector embeddings.
2. Implement the logic to generate vector embeddings for files and metadata.
3. Create a VectorRepository service that provides an API for adding, updating, and searching for vectors.
4. Integrate the VectorRepository with the SearchJob and the semantic re-ranking logic.

Acceptance Criteria

• The system can generate and store vector embeddings for files.
• The VectorRepository can perform efficient vector similarity searches.
• The semantic search capabilities are integrated into the overall search system.