laxmimerit/RAGWire

Production-grade RAG toolkit — ingest PDFs, DOCX, XLSX into Qdrant with LLM metadata extraction, hybrid search, and SHA256 deduplication.

51
/ 100
Established

Supports multi-format ingestion via MarkItDown (PPTX, XLSX, DOCX, PDFs), markdown-aware recursive chunking, and customizable LLM-based metadata extraction through YAML configuration. Provides pluggable embedding providers (Ollama, OpenAI, HuggingFace, Google, FastEmbed) with Qdrant's dense/sparse/hybrid search, plus directory-level ingestion with file and chunk-level SHA256 deduplication. Designed as modular Python components with environment variable substitution for production deployments.

8 stars and 1,249 monthly downloads. Used by 1 other package. Available on PyPI.

Maintenance 13 / 25
Adoption 12 / 25
Maturity 18 / 25
Community 8 / 25

How are scores calculated?

Stars

8

Forks

1

Language

Python

License

MIT

Last pushed

Mar 27, 2026

Monthly downloads

1,249

Commits (30d)

0

Dependencies

11

Reverse dependents

1

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