DocuMind

DemoArchitecture
Query your documents. Trust every answer.

DocuMind: document AI that answers from source, not from guesswork.

Upload a PDF, ask questions in plain language, and get precise answers tied directly to the source. No hallucinations. No third-party data exposure. The architecture guide walks through every implementation decision behind the retrieval pipeline.

At a glance

What DocuMind does

Workspace

Document Q&A Workspace

Upload internal documents and query them conversationally. Every answer is grounded in the source - no fabricated context, no guessing.

Pipeline

End-to-End RAG Pipeline

PDF ingestion, metadata-preserving chunking, hybrid retrieval, and streaming generation - all in a single coherent flow from file to answer.

Documentation

Architecture Deep-Dive

A structured walkthrough of the key engineering decisions: why hybrid retrieval, how BYOK security works, and how single-pass streaming reduces latency and token cost.

Creator

Artem Moshnin

Lead Software Engineer

I'm Artem Moshnin. I built DocuMind because most document AI tools share the same two failure modes: they hallucinate facts that aren't in the source, and they send your documents to third-party models you don't control. DocuMind was built to fix both - strict source grounding at every layer, and a BYOK architecture that keeps your data yours.

UX Focus

Every interface decision is built around one goal: making it easy to verify that an answer is actually in the document. Citations are page-level, not decorative.

Technical Depth

Hybrid retrieval (Chroma vector embeddings + BM25 lexical search), conversational query reformulation, single-pass streaming with structured citation output, and vendor-agnostic LLM routing between Groq/Llama 3 and OpenAI GPT-4o.

Product qualities

Hybrid Retrieval, Not Just Embeddings

Dense vector embeddings capture semantic similarity; BM25 captures exact terms, policy IDs, and acronyms. The ensemble retriever combines both - so answers don't drift semantically or miss precise matches.

Every Claim Has a Source

Answers stream with sub-second time-to-first-token and arrive with page-level citations generated in a single model pass - no second validation step, no fabricated references.

Your Keys, Your Data

Strict BYOK (Bring Your Own Key) architecture ensures documents are never processed through shared corporate pipelines. Route between Groq and OpenAI based on latency, cost, or rate limits - without touching your data policy.