Claude-context is a retrieval-augmented generation pipeline and semantic code search tool. It functions as an LLM codebase indexer and RAG context provider, designed to index local directories and retrieve relevant code files to provide context for large language models.
The system operates as a hybrid search engine that combines keyword matching with dense vector search. This allows for the retrieval of code snippets and logic using natural language queries based on meaning rather than exact text matches.
The project covers codebase indexing and search index management, utilizing asynchronous processing and recursive directory traversal. It incorporates index filtering rules to manage which files are included and employs a combination of semantic encoding and local vector storage to maintain a searchable representation of the source code.