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Let AI index and search local and online sources inside your IDE.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "OmniDocs RAG" yet — see the docs or source repo.
Please index the current project directory, README, docs folder, and GitHub repository, then find code, configs, and documentation related to the user authentication flow and JWT refresh mechanism, and summarize the key file locations.
A list of relevant files, code snippets, doc locations, and a brief summary for quick understanding.
Please index the framework's official docs, GitHub repo, and my local notes, search for content about caching strategies and performance optimization, and organize the findings into a comparative summary.
Cross-source search results with a comparative summary highlighting similarities and differences.
Please index the docs and source code of the npm or Python packages used in my project, search for best practices around retry logic, error handling, and initialization config, and suggest what fits this project.
Relevant package usage patterns, source references, and practical recommendations tailored to the current project.
Search project docs semantically to find relevant files before coding changes.
Lets AI search and query documentation with flexible retrieval configurations.
Generate, search, and maintain codebase documentation for faster team development.
Let AI list, read, and search local Markdown documentation on demand.
Access public GitHub code and docs for AI-powered development research.
Ask questions over documents and get answers with exact source citations.