Link the GitHub repo and add MCP setup for coding agents
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README.md
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[granite-embedding-english-r2](https://huggingface.co/ibm-granite/granite-embedding-english-r2) (ModernBERT,
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Apache-2.0). It runs locally, including as a 325 MB INT8 ONNX model, and needs no remote code.
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| Parameters | 149M |
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**Hybrid retrieval.** Fusing dense scores with BM25 by reciprocal-rank fusion (dense weight 2, k = 60) adds about
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+0.03 on issue localization.
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## Training
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- **Objective:** multi-positive InfoNCE (symmetric, temperature 0.05) with BM25-mined hard negatives and GradCache
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[granite-embedding-english-r2](https://huggingface.co/ibm-granite/granite-embedding-english-r2) (ModernBERT,
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Apache-2.0). It runs locally, including as a 325 MB INT8 ONNX model, and needs no remote code.
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Training and evaluation code, the benchmarks and an MCP server for coding agents are at
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[github.com/vedevpatel/codeintel-150m](https://github.com/vedevpatel/codeintel-150m).
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| Parameters | 149M |
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**Hybrid retrieval.** Fusing dense scores with BM25 by reciprocal-rank fusion (dense weight 2, k = 60) adds about
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+0.03 on issue localization.
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## Use with coding agents (MCP)
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`codeintel mcp` gives Claude Code, Codex, Cursor and other MCP clients semantic search over the repository they are
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working in: the agent passes an issue or a plain-language description and gets back ranked functions and classes with
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file paths and line ranges. It runs locally over stdio, indexes the repository in the background and re-embeds only
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changed code after edits.
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```bash
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# Claude Code (run in the repository)
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claude mcp add codeintel -- uvx --from "codeintel[mcp] @ git+https://github.com/vedevpatel/codeintel-150m" codeintel mcp .
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```
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Setup for Codex and Cursor is in the [GitHub README](https://github.com/vedevpatel/codeintel-150m#use-with-coding-agents-mcp).
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## Training
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- **Objective:** multi-positive InfoNCE (symmetric, temperature 0.05) with BM25-mined hard negatives and GradCache
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