RAG development
Ask-your-documents retrieval over a company's files, wikis, and records — accurate answers with sources cited, private by design.
What we build
Ask-your-documents: a private search-and-answer system over your files, wikis, handbooks, and records. Every answer cites its sources so it can be verified, and retrieval quality is measured rather than assumed. Choose this when the core need is finding trustworthy answers in content you already have. The same machinery — embeddings and vector search — also powers semantic search and personalized recommendations over any catalogue, so choose it too when the goal is search that understands what people mean, or showing each user the right thing next. The documents and data are yours to author and maintain — we build the retrieval machine, not the content it searches.
What you get
- The RAG pipeline's source code in a Git repository
- A query endpoint returning an answer with a citation link to each source document used
- A retrieval-quality report scoring the agreed query set
How the work unfolds
- Design the corpus and chunking strategy
- Build the ingestion and embedding pipeline
- Configure vector search
- Wire retrieval into generation with source citations
- Filter retrieval by the caller's permissions
- Tune retrieval quality against real queries
- Build semantic-search or recommendation features
What shapes the price
Before you see a number, our scoping conversation asks:
- How many places do the documents live — SharePoint, Google Drive, a wiki, a database? Each source is its own connector, format handling and refresh path.
- Do different people have different access to the documents — or may everyone who uses it see everything? Permission-filtered retrieval is some of the most expensive work in a document-answering system.
- Beyond answering questions, should the same machinery also power search or recommendations in your product? The semantic-search/recommendation add-on is real scope that most ask-your-documents builds don't want.
How an engagement starts
This work builds on Discovery workshop, so scope, boundaries and constraints are agreed before anything is built.
Teams often combine it with: