LocalRAG!
AI knows everything — except what's in your documents
Details
- Follow on
- @localragapp
- Target Audience
- StudentsConsultantsNon-Technical Users
- Platforms
- Desktop
About LocalRAG!
AI can answer almost anything, but it doesn't know what's inside the documents on your device. LocalRAG bridges that gap — import your PDFs, contracts, research papers, and more, then ask questions and get AI-powered answers with source citations. **How it works:** Import a document in any of 9 supported formats (PDF, EPUB, DOCX, HTML, RTF, TXT, MD, CSV). LocalRAG extracts text, splits it into chunks, and builds a search index — all on your device. When you ask a question, only the most relevant excerpts are sent to Claude AI, and you get answers with source citations. **Key features:** - 9 document formats with on-device processing - 3-stage PDF extraction (text, copy-protection bypass, OCR for scanned pages) - Hybrid search: TF-IDF + bigram matching + page-number queries - Source citations with page numbers - Document collections for organized conversations - 8 languages supported - Free tier, subscriptions, or bring your own API key
Product Insights
LocalRAG is a desktop-based knowledge extraction tool that enables on-device document processing and hybrid search for specialized file analysis. It integrates with Claude AI while maintaining local data indexing across nine file formats including OCR for scanned PDFs.
- Supports 9 file formats including EPUB, DOCX, and CSV for diverse data ingestion.
- Features a three-stage PDF extraction process including OCR for scanned documents.
- Hybrid search utilizes TF-IDF and bigram matching for precise information retrieval.
- Provides source citations with page numbers to ensure accuracy in AI-generated answers.
Ideal for: LocalRAG is built for students, consultants, and non-technical users who need to perform in-depth data analysis and knowledge base queries on local document collections.
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