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📚 Answers from your own documents

Ask your company's knowledge and get a sourced answer.

A private assistant that reads your SOPs, contracts, manuals, tickets and wiki, then answers staff questions with citations back to the source document. Grounded in your files — not the model's general knowledge.

SecondsTo find an answer
CitedEvery answer traceable
PrivateYour data stays yours
What you get

Your knowledge, actually findable

  • Answers cite the source document
  • Respects who is allowed to see what
  • Updates as your documents change
  • Runs privately, on your terms
Book a Free Consultation
The problem we solve

The answer exists — nobody can find it

Knowledge sits scattered across drives, wikis and inboxes, so people ask a colleague instead. Twice.

🔎

Search finds files, not answers

Keyword search returns forty documents when you needed one paragraph.

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The same questions, every week

Experienced staff spend their time repeating what is already written down.

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Nobody trusts what they find

Three versions of a policy and no way to tell which one is current.

Complete range of solutions

What we build into it

A retrieval system that is accurate and trustworthy, not a demo that impresses once.

Document ingestionPDFs, Office files, wikis, tickets, drives
Semantic searchFinds meaning, not just matching words
Cited answersEvery claim linked to its source
Permission awarenessPeople only see what they may see
FreshnessRe-indexed as documents change
Conflict handlingFlags contradictions between sources
Slack & Teams accessAsk it where your team already works
Gap analyticsShows what people ask that you haven't documented
Tools & technology

We work in proven, professional tools

The platforms and tools our specialists use to deliver reliable results.

OpenAIClaudeLangChainPineconepgvectorQdrantSharePointConfluenceSlackPython
Our proven process

A clear, reliable way of working

Six simple steps so the work is accurate, consistent and delivered on time.

1

Inventory

Where your knowledge actually lives.

2

Ingest

Documents parsed, chunked and indexed.

3

Ground

Answers constrained to retrieved sources.

4

Permission

Access mirrored from your systems.

5

Evaluate

Tested against a real question set.

6

Deploy

Web, Slack or Teams, then monitored.

Why Talk For Web

A partner you can rely on

Dependable delivery, real accountability and a team that treats your work as its own.

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16+ years experience

A seasoned team that has supported 120+ clients and 500+ projects worldwide.

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Accuracy-obsessed

Clear specs, validation and multi-step QA on every batch we deliver.

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NDA-backed & secure

An NDA is signed before any access; secure, confidential handling throughout.

Built to scale

Ramp a trained, dedicated team up or down to match your workload.

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Built for global teams

Working comfortably across USA, UK, AU, CA & UAE time zones.

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Flexible & scalable

Scale up when busy, down when quiet — no long contracts.

★★★★★

"New starters used to take a fortnight to know where anything was. They now ask the assistant and get the actual clause with a link to the policy. Our senior people got their afternoons back."

NP
Nadia PatelHead of People · 🇦🇪 UAE
Questions

Knowledge Assistants (RAG) FAQs

Everything you might want to know before getting started.

What is RAG, in plain terms? +
The assistant searches your documents first, then answers using only what it found — and shows you where each part came from. That grounding is what stops it inventing things.
Can it invent an answer? +
It is constrained to retrieved content and instructed to say when your documents don't cover something. Because answers are cited, anyone can verify them in one click.
Will it leak information between teams? +
No. It mirrors your existing permissions, so someone only gets answers from documents they already have access to.
What happens when documents change? +
Re-indexing runs on a schedule or on change, so answers follow the current version. It can flag when two sources disagree.
Where does our data go? +
Into a vector database you own, on your cloud or ours, using business API tiers where your content is not used for training. Fully on-premise is possible.
How long does it take? +
A first assistant over a defined document set is usually 4-6 weeks including evaluation against a real question set.

Make your documentation answer for itself

Start with one team's knowledge and expand once it proves itself. Related: AI chatbots for customer-facing questions.

💬 Ask AI