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relace-search

Relace-search shifts the paradigm from traditional RAG-based retrieval to an agentic codebase exploration model. Instead of relying on static vector embeddings that often struggle with complex structural relationships, this model utilizes a suite of 4 to 12 specialized tools, including 'view_file' and 'grep', to actively navigate repositories. By executing these tools in parallel, the model can perform multi-step reasoning to locate specific logic, trace function definitions, and understand cross-file dependencies in real-time. For developers, this means more accurate context injection during large-scale refactoring or debugging tasks where semantic similarity alone isn't enough. It is designed for seamless API integration into IDE extensions or automated code review workflows, providing a high-context window of 256k tokens to maintain coherence across massive codebases.

relacetext generation
01 / MODEL CARD

Model card

Relace-search shifts the paradigm from traditional RAG-based retrieval to an agentic codebase exploration model. Instead of relying on static vector embeddings that often struggle with complex structural relationships, this model utilizes a suite of 4 to 12 specialized tools, including 'view_file' and 'grep', to actively navigate repositories. By executing these tools in parallel, the model can perform multi-step reasoning to locate specific logic, trace function definitions, and understand cross-file dependencies in real-time. For developers, this means more accurate context injection during large-scale refactoring or debugging tasks where semantic similarity alone isn't enough. It is designed for seamless API integration into IDE extensions or automated code review workflows, providing a high-context window of 256k tokens to maintain coherence across massive codebases.

Model typetext generation
Providerrelace
LicenseAPI
02 / FILES & VERSIONS

Model files and versions

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Source repositoryhttps://openrouter.ai/relace/relace-search
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03 / DOWNLOAD

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04 / WORKFLOW

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  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

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