RAG & Knowledge Platform
DocumentAI
Enterprise document intelligence & semantic search.
Status
Client Delivery
Category
RAG & Knowledge Platform
Features
6 listed
Roadmap
3 items
Overview
What it is and why it exists
A practical look at the problem, the approach, and what makes this product different from a generic implementation.
Problem
Enterprises sit on millions of pages of contracts, SOPs, manuals and tickets. Keyword search misses intent; out-of-the-box chat tools hallucinate.
Solution
A retrieval platform combining hybrid search (BM25 + dense), structured extraction, citation-grounded answers, and per-document/per-role access controls.
What makes it different
Built with a measurable retrieval eval suite from day one — every change ships with a regression report on precision, recall, and grounding rate.
Capabilities
Key features and target users
Key features
- Hybrid retrieval (BM25 + vector + re-rank)
- Structured extraction from PDFs, scans, contracts
- Citation-grounded answers
- Role-based document access
- Retrieval eval suite & quality dashboard
- Cloud-agnostic deployment
Target users
- Legal & compliance teams
- Engineering knowledge bases
- Customer support deflection
- Regulated industries (finance, healthcare)
Stack & Roadmap
Stack and next steps
The technology choices and roadmap are listed as product notes. Images are skipped where local assets are not available.
Tech stack
Roadmap
- Multi-tenant SaaS edition
- Native MS Teams & Slack assistants
- Fine-tuned re-rankers per domain
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