Meet Docura

Docura is a blazing-fast, privacy-first RAG framework built for internal tools, public chatbots, and everything in between. Engineered with real-time document awareness, smart chunking, and modular deployment in mind.

Example Meet Docura
A demo of the Meet Docura component in action.
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Whether you're building a chatbot or an internal knowledge system, Docura delivers smarter answers with blazing speed and full control.

Why Docura?

  • Built on Gemini 2.5 Flash for lightning-fast, real-time answers.
  • Uses hybrid retrieval — combining semantic search with keyword matching and cross-encoder reranking.
  • NLTK-powered chunking ensures smarter, context-aware results.
  • Privacy-first with full local support — no external APIs required.
  • Modular and production-ready with FastAPI + Docker for cloud and edge deployment.

Core Capabilities

  • Ingest PDFs, DOCX, HTML, PPTX, and emails with support for system_cache folders.
  • Custom citation engine with contextual highlights and automatic metadata extraction.
  • Powered by FAISS for fast local vector search and offline-ready embeddings (MiniLM or GGML).
  • Multi-threaded pipelines optimized for speed, scalability, and control.

Documentation

Get full integration guides and feature docs covering setup, deployment, embedding strategies, vector stores, and advanced ingestion flows.