Want AI to Actually Understand Your Code? This Tool Says It Can Help | HackerNoon
Briefly

CocoIndex is a tool designed for indexing codebases to improve retrieval-augmented generation (RAG) systems. It incorporates Tree-sitter, a powerful parser generator, to break down code into semantically rich chunks based on syntax structures. This allows for more effective indexing and context preservation, essential for code retrieval. The process involves reading code files, extracting necessary data, chunking the code, generating embeddings, and storing them in a vector database. It currently emphasizes integration with Postgres for data management but aims to support additional databases in the future.
CocoIndex leverages Tree-sitter’s capabilities to intelligently chunk code based on syntax structures, enabling more effective indexing for better retrieval and context.
CocoIndex is designed to be a framework for building data pipelines and offers built-in support for codebase chunking, crucial for RAG systems.
The CocoIndex flow processes a codebase by reading files, extracting extensions, chunking code, generating embeddings, and storing them in a vector database.
CocoIndex’s integration with Rust’s Tree-sitter provides efficient parsing and extraction of syntax trees, enhancing the indexing process for retrieval-augmented generation.
Read at Hackernoon
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