Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
See also:
Graph-R1: An Agentic GraphRAG Framework for Structured, Multi-Turn Reasoning with Reinforcement Learning
Building AI Ready Codebase Indexing With CocoIndex
Building AI-Ready Codebase Indexing with CocoIndex and Tree-sitter In today's AI-driven development landscape, the ability to efficiently index and search through codebases has become increasingly crucial. Whether you're building code search tools, documentation generators, or AI-powered development assistants, having a robust codebase indexing system is essential. In this tutorial, we'll explore how to build a complete codebase indexing solution using CocoIndex and Tree-sitter in just about 50 lines of Python code. What is CocoIndex? CocoIndex is a powerful indexing framework that leverages Tree-sitter's parsing capabilities to intelligently chunk codebases based on actual syntax structure rather than arbitrary line breaks. This approach ensures that your code chunks are semantically meaningful, leading to better search results and more accurate AI responses. Key Features of CocoIndex: - **Syntax-aware chunking** using Tree-sitter - **Incremental proces...
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