docs(embed): note static model ships bundled in VS Code extension

The VSIX bundles jina-code-static-256 and the extension auto-selects it
(extension.ts), so `static` needs zero setup in VS Code. CLI/MCP keep the
CODEGRAPH_STATIC_MODEL path instructions.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

Author: anvanster

README.md

@@ -90,11 +90,12 @@ Static (model2vec) embeddings replace the ONNX transformer with a token→vector
 lookup table: indexing is **~100× faster** (this repo's 5,873 symbols embed in
 ~1 s vs ~3.4 min with BGE) and there's **no ONNX runtime or 1.5 GB RAM gate**.
 Retrieval stays **hybrid (BM25 + semantic)**, so end-to-end quality is **~90% of
-BGE**. It needs a local model directory (`config.json` + `tokenizer.json` +
-`model.safetensors`):
+BGE**. The VS Code extension ships the model bundled, so `static` works there
+with no setup. For the CLI/MCP server it needs a local model directory
+(`config.json` + `tokenizer.json` + `model.safetensors`):
 
 - Point at it with `CODEGRAPH_STATIC_MODEL=/path/to/model` (or the VS Code
-  `codegraph.staticModelPath` setting). Default:
+  `codegraph.staticModelPath` setting to override the bundled model). Default:
   `~/.codegraph/static_models/jina-code-static-256`.
 - Distill one from any sentence-transformer (Apache-2.0 Jina-Code by default) in
   ~30 s on CPU: `python scripts/distill_static_model.py`.

vscode/README.md

@@ -45,7 +45,7 @@ The extension starts the server automatically and registers all tools as Languag
 |------|---------|-------------|
 | `--workspace <path>` | current dir | Directories to index (repeatable for multi-project) |
 | `--exclude <dir>` | — | Directories to skip (repeatable) |
-| `--embedding-model <model>` | `bge-small` | `bge-small` (384d, fast), `jina-code-v2` (768d, 6x slower), or `static` (model2vec, 256d — ~100× faster indexing, no ONNX, ~90% of BGE quality in hybrid search; set `codegraph.staticModelPath`) |
+| `--embedding-model <model>` | `bge-small` | `bge-small` (384d, fast), `jina-code-v2` (768d, 6x slower), or `static` (model2vec, 256d — ~100× faster indexing, no ONNX, ~90% of BGE quality in hybrid search; the model ships bundled in the extension, so no setup is needed) |
 | `--full-body-embedding` | `true` | Embed full function body (~50 lines) for better semantic search and duplicate detection |
 | `--max-files <n>` | 5000 | Maximum files to index |
 
@@ -56,8 +56,8 @@ The extension starts the server automatically and registers all tools as Languag
   "codegraph.indexOnStartup": true,
   "codegraph.indexPaths": ["/path/to/project-a", "/path/to/project-b"],
   "codegraph.excludePatterns": ["**/cmake-build-debug/**", "**/generated/**"],
-  "codegraph.embeddingModel": "bge-small",        // or "static" for ~100× faster indexing
-  "codegraph.staticModelPath": "",                // model2vec model dir when embeddingModel is "static"
+  "codegraph.embeddingModel": "bge-small",        // or "static" for ~100× faster indexing (model bundled, no path needed)
+  "codegraph.staticModelPath": "",                // optional: override the bundled model2vec dir
   "codegraph.maxFileSizeKB": 1024,
   "codegraph.debug": false
 }