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Retrieve relevant local PDF chunks for IDE agents to generate better answers.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "retrieval-only-RAG" yet — see the docs or source repo.
Retrieve the most relevant chunks from local PDF documents about “vector index update mechanisms” and return them ranked by relevance.
A ranked list of relevant PDF chunks for the IDE agent to use in answer generation.
Retrieve passages from local PDFs related to “authentication middleware configuration” and return source text that can support code explanations.
Source document chunks that ground the response and help the agent produce a more reliable explanation.
Search local research PDFs for content related to “experimental evaluation metrics” and return the best-matching chunks.
The most relevant research document chunks for follow-up summarization, citation, or question answering.
Ingest PDFs, run semantic search, and answer questions with source citations.
Search, retrieve, and answer questions from PDF documents with RAG.
Search PDFs with LLM reasoning to find relevant content and answers.
Search local Word and PDF files to answer document-based questions.
Turn unstructured documents into a searchable knowledge base for AI agents.
Search and question PDF documents with Pinecone and local AI models.