Intelligent Document Q&A
Ask natural-language questions about your uploaded documents and receive answers grounded in the source material.
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What does the report say about...
Intelligent Document Platform
Turn your documents into intelligent conversations.
DocuMind combines document retrieval, AI agents, and LangGraph orchestration to help you understand, search, and interact with your documents.
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Built with Django, LangChain & LangGraph
Online
research-report.pdf
Retrieved from document store
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DocuMind Agent
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Query classified
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Relevant chunks retrieved
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Answer evaluated
CAPABILITIES
Everything you need to work with documents.
A complete document intelligence workflow powered by retrieval, agents, and orchestration.
AI Summarization
Generate concise summaries from lengthy documents without manually reading every page.
Smart Retrieval
Embeddings, vector search, and MMR retrieval find the most relevant information.
Conversation Memory
Database-backed checkpointing keeps conversations persistent across sessions.
Agent Tools
AI agents can use calculation, web search, and database tools when required.
Answer Evaluation
An evaluator checks generated answers against source documents before delivery.
HOW IT WORKS
From document to intelligent answer.
DocuMind orchestrates multiple AI components behind a simple user experience.
01
Upload
Upload your documents through the Django-powered application.
Document Loader
02
Process & Retrieve
Documents are split, embedded, and stored for efficient semantic retrieval.
RAG + Vector Store
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Orchestrate
LangGraph routes the request to the appropriate agent workflow.
LangGraph
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Answer & Verify
The answer is generated and evaluated against available source material.
Evaluator Agent
LANGGRAPH ORCHESTRATION
Multiple agents. One intelligent workflow.
Instead of relying on a single AI call, DocuMind uses a stateful LangGraph workflow to route, parallelize, evaluate, and control agent execution.
Smart Routing
Automatically classify requests into Q&A, summarization, or actions.
Parallel Execution
Retrieval and external search can run concurrently.
Evaluator Loop
Generated answers are checked before reaching the user.
Human-in-the-Loop
Sensitive actions can pause execution for user confirmation.
Agent Workflow
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User Query
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Router
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Q&A
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Summary
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Action
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Evaluator
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Final Answer
TECHNOLOGY STACK
Built on a modern AI architecture.
Each layer is responsible for a specific part of the document intelligence pipeline.
01
LangChain
Document ingestion, retrieval, chains, agents, and tool integration.
02
LangGraph
Stateful agent workflows with routing, parallelization, evaluation, and persistence.
03
Django
Secure web application layer with accounts, APIs, templates, and database integration.
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Vector Store
Semantic document retrieval powered by embeddings and similarity search.
SECURE BY DESIGN
Your documents. Your control.
DocuMind is designed as a secured, database-backed application where authentication, document access, state management, and sensitive actions are handled through the application layer.
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Database-backed application
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Persistent conversation state
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Human approval for sensitive actions
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Source-grounded responses
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Protected Workflow
User
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Django
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Agents
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Verified
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DOCUMENT INTELLIGENCE, SIMPLIFIED
Give your documents
an intelligent interface.
Upload. Ask. Understand. Let DocuMind handle the complexity.