semantic-search
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| CORPUS_ROOT | No | Path to the text-layer corpus root directory. Can also be passed as a command-line argument to build_index.py and server.py. |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| semantic_searchA | Semantic recall: retrieve text-layer passages by meaning, catching what keyword grep misses (paraphrase and cross-lingual matches). Returns top-k fragments, each with file (relative path), page_start/page_end (for going back to the source PDF), score (cosine; higher = closer), and text (the fragment itself). ⚠ Recall layer only: verbatim quotes, page numbers, and emphasis must be verified against the source PDF. Never cite these fragments directly. |
| semantic_search_infoA | Report current index state: backend, model, chunk count, file count, build time. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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