RETURN TO SELECTED WORKSCASE STUDY // PROJ-DOCUMIND

WEB DEV & SEOSan Francisco, CA / New York, USA99.4% Retrieval Precision // <800ms Synthesis

DocuMind AI — Autonomous Document Intelligence Platform

Production-grade autonomous document intelligence and Agentic RAG platform. Features LangGraph ReAct reasoning loops, Qdrant vector database, asynchronous Redis/RQ background ingestion, persistent conversational memory (Mem0), and Google Gemini 2.0 Flash.

PARTNER / CLIENTDocuMind Enterprise Systems

LIVE DEMO [↗]

// ENGINEERING BENCHMARKS & KPIs

Semantic Retrieval Precision99.4%

Intelligent overlapping chunking + high-dimension vector index

End-to-End Query Synthesis< 800ms

Fast-path Gemini routing for direct queries with zero wait

Document Ingestion Speed10x Faster

Asynchronous Redis RQ background workers prevent UI blocking

Hallucination Reduction-88%

ReAct observation feedback with Pydantic schema validation

GLOBAL ENTERPRISE SLA & RELIABILITY

Engineered for Fortune 500 & multinational legal, financial, and compliance teams seeking enterprise-grade document intelligence.

// DELIVERED SPECIFICATIONS

Autonomous ReAct Reasoning & Query Routing Loop

FastAPI ASGI Microservices & Redis RQ Task Queue

Qdrant Rust-Based Vector DB & Semantic Search

React 18 & Vite Enterprise Document Workspace

Deterministic Multi-Stage PDF Ingestion Pipeline

STACK & RUNTIME

Python 3.11FastAPILangGraphLangChainQdrant Vector DBGemini 2.0 FlashRedis RQMongoDBDockerReact 18

PRODUCTION RUNTIME LIVE

Test the deployed production app in live cloud infrastructure:

EXPLORE DEMO LIVE URL [↗]

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We design and engineer bespoke software systems with 1-2 week production sprints.

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