LLMDoc

소개

LLMDoc functions as a robust documentation server, specifically designed to empower large language models (LLMs) with up-to-date, searchable information. It integrates seamlessly with the llms.txt standard, automatically parsing and indexing documentation from various web sources. By employing a BM25 search algorithm, it provides fast, keyword-based retrieval with relevance scoring. The server ensures persistent storage, background refreshing, and source attribution, allowing LLMs to answer complex queries by referencing precise, relevant passages from a curated knowledge base.

주요 기능

• Automatic parsing and indexing of llms.txt documentation files
• Support for named documentation sources and filtering by source
• Persistent, DuckDB-based index that survives server restarts
• Configurable background refresh for documentation sources
• 0 GitHub stars
• Fast BM25 search with relevance scoring and stopword filtering

사용 사례

• Filter search results by specific documentation sources to narrow down LLM's knowledge retrieval to a particular project or library.
• Enable LLMs to answer specific questions about tools and frameworks by searching indexed documentation.
• Provide LLMs with real-time access to official documentation, keeping information up-to-date through automatic refreshes.