Document Processing and RAG With Citable Answers
We build a retrieval pipeline that ingests your documents and answers questions with citations, so your team finds and trusts information instead of digging through files.
Scope your RAG pipeline
Answers in brief
- What it is
- A document processing and retrieval-augmented generation pipeline that ingests your files, indexes them for search, and answers questions with citations back to the source so responses stay grounded and auditable.
- Who it is for
- Teams that search, summarize, or extract from large or growing document sets, such as policies, contracts, or manuals, and need answers they can trace to a source.
- Cost
- Scope-based: we quote against your specific use case after a short discovery call rather than from a fixed price list, so you only pay for what you actually need.
- Timeline
- Most engagements reach a first production milestone within a 45-day delivery window once scope is confirmed, with weekly check-ins along the way.
- Risks
- The main risks are hallucinated answers and stale content. We add citations, an evaluation set from week one, and a refresh process for the index so answers stay accurate as your documents change.
- Next step
- Submit a short project brief through the form on this page; we reply within 24-hour on weekdays to schedule a scoping call.
Where and how we deliver
Our engineering team is based in Hangzhou and led by ex-Alibaba senior engineers who have shipped 20+ projects for 10+ clients.
We collaborate with US and EU teams on a remote schedule, with a 24-hour response commitment on weekdays so timezone gaps never stall a build.
Project communication, source control, and handover documentation stay in English, so distributed stakeholders can follow progress without friction.
Frequently asked questions
What is RAG and why use it for documents? +
Retrieval-augmented generation fetches relevant passages from your documents and uses them to answer questions with citations, so responses are grounded in your content rather than guessed.
What document types and formats can you handle? +
We ingest common formats such as PDFs, office documents, and exported records, with a pipeline that chunks, cleans, and indexes them for reliable retrieval.
How do you keep answers from being made up? +
Answers cite the source passages they come from, low-confidence queries can defer rather than guess, and we score quality against an evaluation set before launch.
What happens when our documents change? +
We build a refresh process so new and updated documents are re-indexed on a schedule, keeping answers current as your content evolves.
How long does a RAG pipeline take to build? +
Most pipelines reach a first production milestone within a 45-day delivery window after scope is confirmed, with an evaluation set in place from the first sprint.
Do we own the pipeline and its source code? +
Yes. You own the source code, configuration, and documentation at handover, so you can extend the pipeline or change models without rebuilding it.
Scope your RAG pipeline
Share a short brief and we will reply within one business day.