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Turn PDFs into searchable databases with inline image location and caption retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "PDF Inline Image RAG MCP" yet — see the docs or source repo.
Build a SQLite search index from this research report PDF, preserve inline image positions, extract searchable text, and create placeholder records for each image so an AI can later add captions.
A searchable SQLite database containing full text, inline image placeholders, and fields for later image captions.
Search the indexed PDF database for "system architecture diagram" and related paragraphs, then return matched text, page numbers, nearby image placeholder data, and any existing captions.
Relevant text matches with associated image locations, page numbers, and captions for quick text-image navigation.
Read image placeholder records from the database, use nearby text context to generate concise captions for each image, and write them back so they become searchable.
Image records are enriched with captions, enabling keyword search across both document text and visual content.
Ingest PDFs, run semantic search, and answer questions with source citations.
Search PDFs with LLM reasoning to find relevant content and answers.
Search, retrieve, and answer questions from PDF documents with RAG.
Lets AI inspect PDF text layers, outlines, and page content locally.
Retrieve relevant local PDF chunks for IDE agents to generate better answers.
Search local Markdown files and return full document contents for use.