grepai-chunking

To configure code embeddings chunking, you set the chunking.size and chunking.overlap parameters in your .grepai/config.yaml file. This controls how source files are split into tokens to balance context and index size for search relevance.

Improving search precision in large monorepos involves applying targeted chunking strategies to your source code indexing. By tuning chunk size and shared overlap context in the YAML configuration, you optimize embedding accuracy and performance across the repository.

Chunking affects source code indexing by splitting files into token-based chunks with configurable boundaries and overlap. Properly sized chunks preserve local context while keeping the index manageable, directly boosting the accuracy of code search embeddings.

Yes, you can use language-specific recommendations for code chunking configuration. The system provides guided defaults to optimize indexing, adjusting boundaries and token sizes based on whether the programming language is verbose or concise.

You need a YAML-based configuration file located at .grepai/config.yaml to set up tokenization boundaries. This file defines the chunking parameters and provides visual boundaries to guide the indexing process for your codebase.