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AI chatbot implementations

AI chatbots grounded in your actual content and search infrastructure, not scripts or generic AI. Every response is specific, verifiable and on-brand.

Talk to us about chatbots
How we implement AI chatbots

Build on your existing search

Query your existing index

If you already run Elasticsearch or Solr, your content is indexed. We connect an AI layer directly to it.

Conversational answers

An AI model transforms search results into clear, natural responses your users can act on immediately.

Always in sync

The chatbot reads from your live index. When content changes, answers update automatically.

Faster to deploy

No new content pipeline to build. Less duplication, less infrastructure and a shorter path to launch.

Custom RAG implementations

Ingest any content source

PDFs, internal docs, legacy databases or content spread across systems. We process it all into a unified pipeline.

Vector embeddings index

Content is chunked, embedded and stored in a searchable vector index for fast semantic retrieval.

Grounded generation

A language model generates responses from retrieved content only, not from general training data.

Citations and fallbacks

Every response links to source documents. When the chatbot can't answer, it routes users to the right channel.

Why grounded chatbots work

Accurate, traceable responses

Every answer draws from your published content, not general AI knowledge. Responses can be traced back to source documents, which matters especially in regulated industries.

Less support overhead

Chatbots handle repetitive questions at scale, freeing your team for the queries that genuinely need a human.

Answers that stay current

Because the chatbot pulls from your live content or regularly updated index, it doesn’t fall out of date when pages change.

Your guardrails, built in

You decide what the chatbot can access, how it responds and where it routes users when it can’t help.

Why grounded chatbots work

Accurate, traceable responses

Every answer draws from your published content, not general AI knowledge. Responses can be traced back to source documents, which matters especially in regulated industries.

Less support overhead

Chatbots handle repetitive questions at scale, freeing your team for the queries that genuinely need a human.

Answers that stay current

Because the chatbot pulls from your live content or regularly updated index, it doesn’t fall out of date when pages change.

Your guardrails, built in

You decide what the chatbot can access, how it responds and where it routes users when it can’t help.

Frequently asked questions

No. If you have one of these in place, we can build on top of it. If not, we can set up a custom RAG pipeline that works with your content regardless of your current infrastructure.

RAG stands for retrieval-augmented generation. The chatbot searches your content first, then uses an AI model to craft a response based on what it found. This keeps answers grounded in your actual content rather than relying on the AI’s general knowledge.

General AI tools are trained on broad internet data. They don’t know your specific content, policies or terminology. Our implementations connect directly to your content, so answers are specific to your organisation and verifiable against your source material.

We design our implementations with guardrails that significantly reduce hallucination. The chatbot responds based on retrieved content only and acknowledges when it doesn’t have a relevant answer. No system is perfect, but grounding dramatically improves accuracy.

Most content types work: web pages, PDFs, Word documents, knowledge base articles, FAQs, product catalogues and structured databases.

A chatbot connected to an existing search index can be ready in weeks. A custom RAG implementation for more complex content typically takes a few weeks longer. We’ll give you a clear timeline upfront.

Yes. Grounded chatbots are well-suited to regulated environments because responses are traceable to source documents. We can implement additional controls such as content filtering, audit logging and restricted knowledge boundaries to meet compliance requirements.

Ready to put your content to work?

Whether you're exploring chatbots for the first time or replacing a solution that isn't delivering, we can help you build something grounded and genuinely useful.

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