embed_repo
Generate embeddings for codebase symbols to enable hybrid semantic search, using local CPU inference without API keys.
Instructions
Generate embeddings for semantic search across all symbols in the codebase.
Run after index_repo to enable hybrid search (FTS5 + vector similarity).
Uses BAAI/bge-small-en-v1.5 (33MB, runs locally on CPU, no API keys).
Only embeds symbols without existing vectors — fast on subsequent runs.
Requires: pip install tempograph[semantic]
repo_path: absolute path to repositoryInput Schema
| Name | Required | Description | Default |
|---|---|---|---|
| repo_path | No | /demo | |
| exclude_dirs | No | ||
| output_format | No | text |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |