Back to Projects
Completed Project
DocNav — Document-Centric Retrieval & Intelligence System
Open-source document-centric retrieval and document-intelligence system combining semantic retrieval, structure-aware processing, and citation-grounded answers.
|
RoleLead Architect & Engineer
Timeline2024 - Present
TeamOpen Source
Tech Stack7 Technologies
Mission Brief
DocNav is an open-source, production-grade document intelligence system designed for deep semantic retrieval, multi-document reasoning, and verifiable citation generation. It bridges the gap between raw document ingestion (PDF, DOCX, structured data) and high-fidelity LLM reasoning pipelines through structure-aware chunking and hybrid dense-sparse vector indexing.
Key Features
Deep Retrieval Engine
- Structure-aware document parsing preserving tables, hierarchies, and footnotes.
- Hybrid lexical and dense semantic embeddings for zero-shot accuracy.
- Grounded citations preventing LLM hallucination during cross-document synthesis.
Extensible Interfaces
- Full Python SDK and high-performance CLI interface.
- REST API endpoints for containerized production deployment.
- Modular vector database adapters (Chroma, Qdrant, FAISS).
Visual Gallery
IMG_01
Project Access
Technologies
Python
RAG
Vector Search
LangChain
FastAPI
Document AI
CLI
Table of Contents
- • Mission Brief
- • Key Features
- • Visual Gallery
Back to Projects