laxmimerit/RAGWire
Production-grade RAG toolkit — ingest PDFs, DOCX, XLSX into Qdrant with LLM metadata extraction, hybrid search, and SHA256 deduplication.
This tool helps you quickly make large collections of internal documents, like PDFs or spreadsheets, searchable using AI. You input entire folders of files, and it organizes them into a smart system, even extracting key details like company names or fiscal periods using AI. The output is a powerful search capability that lets you find specific information across all your documents instantly. Knowledge managers, researchers, or anyone needing to make extensive document archives queryable would find this invaluable.
Used by 1 other package. Available on PyPI.
Use this if you need to build a robust, AI-powered search system over your company's large collection of documents like reports, manuals, or financial statements.
Not ideal if you only have a few documents to search or if you don't require advanced metadata extraction or hybrid search capabilities.
Stars
8
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 27, 2026
Commits (30d)
0
Dependencies
11
Reverse dependents
1
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