Mgrep | Awesome Repository

mgrep is an LLM-powered semantic search engine and local file indexer designed to retrieve information from local directories and web content using natural language queries. It functions as a semantic document retriever that uses meaning and context rather than exact keyword matches to locate relevant data.

The tool distinguishes itself by combining local file indexing with real-time web content retrieval to synthesize comprehensive answers. It employs retrieval-augmented generation to transform retrieved snippets from both local and remote sources into direct, concise responses.

The system includes capabilities for semantic file indexing, iterative query refinement to resolve complex information needs, and automatic synchronization of local file changes to a remote storage backend.

Features

Semantic Search Engines - An LLM-powered search engine that retrieves information from local files and the web based on meaning and context.
Local Document Indexing - Processes local directories into vector stores to provide grounding for retrieval-augmented generation.
Response Synthesis Engines - Synthesizes retrieved local and web snippets into concise, natural language responses using a large language model.
Semantic Search - Finds relevant information across local and web sources by understanding query intent and context.

Features

Semantic Search Engines - An LLM-powered search engine that retrieves information from local files and the web based on meaning and context.
Local Document Indexing - Processes local directories into vector stores to provide grounding for retrieval-augmented generation.
Response Synthesis Engines - Synthesizes retrieved local and web snippets into concise, natural language responses using a large language model.
Semantic Search - Finds relevant information across local and web sources by understanding query intent and context.