🧠 DocuMind

Document Q&A Pipeline powered by Xiaomi MiMo V2.5 Pro

Multi-agent document analysis system — ingest, index, retrieve, answer, verify, cite, export.

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Architecture

┌─────────────────────────────────────────────────────────────┐
│                    DocuMind Pipeline                         │
│                                                             │
│  ┌──────────┐   ┌──────────┐   ┌───────────┐               │
│  │ Ingester │──▶│ Indexer  │──▶│ Retriever │               │
│  │ Agent    │   │ Agent    │   │ Agent     │               │
│  └──────────┘   └──────────┘   └─────┬─────┘               │
│       │                              │                      │
│       ▼                              ▼                      │
│  ┌──────────┐   ┌──────────┐   ┌───────────┐              │
│  │Summarizer│   │FactCheck │   │ Answerer  │              │
│  │ Agent    │   │ Agent    │   │ Agent     │              │
│  └──────────┘   └──────────┘   └─────┬─────┘              │
│                                      │                      │
│       ┌──────────────────────────────┼──────────┐          │
│       ▼                              ▼          ▼          │
│  ┌──────────┐   ┌──────────┐   ┌───────────┐              │
│  │ Citation │   │  Export  │   │  Token    │              │
│  │ Agent    │   │  Agent   │   │  Tracker  │              │
│  └──────────┘   └──────────┘   └───────────┘              │
│                                                             │
│  ═══════════════════════════════════════════════             │
│  Xiaomi MiMo V2.5 Pro (token-plan-sgp.xiaomimimo.com)      │
└─────────────────────────────────────────────────────────────┘

Agents

Agent	Role	Est. Tokens/Day
Ingester	Parse PDF/DOCX/TXT/MD, chunk text	0.15M
Indexer	Build keyword + TF-IDF index	0.20M
Retriever	Find relevant chunks + MiMo reranking	0.45M
Answerer	Generate cited answers from context	0.80M
Summarizer	Document-level summaries	0.35M
Fact Checker	Verify claims against sources	0.25M
Citation	APA/MLA/Chicago formatting	0.10M
Export	Markdown/JSON export	0.05M

Daily Total: ~2.4M tokens

Token Consumption Report

Metric	Value
Daily token consumption	~2.4M tokens
Per-session (avg 10 Q&A)	~12K tokens
Primary model	mimo-v2.5-pro
API endpoint	token-plan-sgp.xiaomimimo.com/v1
Auth method	api-key header

Why MiMo?

1. Cost efficiency — MiMo V2.5 Pro delivers GPT-4-level reasoning at a fraction of the cost, critical for our high-volume document analysis pipeline
2. Structured output — Excellent at generating consistently formatted citations, fact-check verdicts, and summaries
3. Reasoning depth — The reasoning_content field provides transparent chain-of-thought, essential for the fact-checking agent
4. Speed — Low latency enables interactive Q&A sessions without frustrating wait times
5. API compatibility — OpenAI-compatible endpoint makes integration seamless

Quick Start

# Install
pip install -e ".[dev]"

# Set API key
export MIMO_API_KEY="your-key-here"

# Ingest a document
documind ingest document.pdf

# Ask questions
documind ask document.pdf -q "What is the main conclusion?" -q "Who are the authors?"

# With verification
documind ask document.pdf -q "Summarize the methods" --verify

# View token stats
documind stats

API Details

• Endpoint: https://token-plan-sgp.xiaomimimo.com/v1/chat/completions
• Model: mimo-v2.5-pro
• Auth: api-key header (NOT Authorization: Bearer)
• Streaming: SSE with reasoning_content field
• Rate Limits: RPM 100, TPM 10M

Tech Stack

• Python 3.10+
• Click + Rich (CLI)
• httpx (async HTTP)
• Pydantic (data validation)
• pytest + pytest-asyncio (testing)

License

MIT