RAG Chatbot Development
A general chatbot makes things up about your business. A RAG chatbot looks up the relevant parts of your own documents first and answers from those, so replies stay grounded in what you actually publish.
I build these end to end: preparing your content, setting up search, writing the prompts and guardrails, and adding the chat interface to your site or app. I also set up simple checks so you can see when the answers are good and when they are not.
Scope
What is included
Everything below is handled by one person, so nothing gets lost between teams.
- 01
Document ingestion from PDFs, web pages, help centres and databases
- 02
Chunking, embeddings and a vector search index
- 03
Answers with source references so users can verify them
- 04
Guardrails for off-topic questions and unknown answers
- 05
Chat interface on your website or inside your product
- 06
Test questions and quality checks before launch
- 07
Admin tools to update the knowledge base
Fit
Who this is for
If one of these sounds like you, we will probably work well together.
- 1
Support teams answering the same questions repeatedly
- 2
Companies with large manuals, policies or documentation
- 3
Products that want in-app help over their own content
Process
How a project runs
- 01
Brief
We talk through your goals, audience and scope so we both know what success looks like.
- 02
Proposal
You get a clear scope, timeline and price before any work starts. No surprises later.
- 03
Build
I build in short cycles and share working previews, so you can steer as it takes shape.
- 04
Launch & Support
I deploy, test on real devices, and stay available after launch for fixes and improvements.
Reviews
What clients say
Had a great experience with their web development services. They understood my requirements perfectly and delivered exactly what I needed. Highly recommended!
Cindy CurtisGoogle review Really liked working with them. Easy to communicate with, understood what I needed, and did a great job with the management system. Highly recommended!
Saba NaazGoogle review Great team to work with. Recommended!
Varun MandalGoogle review
FAQ
Frequently asked questions
Common questions about rag chatbot development.
It can never be reduced to zero, but grounding answers in your documents, showing sources and telling the bot to say when it does not know cuts it down sharply. I test with real questions before launch.
Content is processed by the model provider you choose. I explain the data handling options up front, including which ones keep your data out of training.
I set up a simple process to add, replace or remove documents, so the chatbot always reflects your latest content.
Have a project in mind?
Tell me what you want to build. I reply with questions, a rough timeline and the next steps.
Replies within 1 to 2 business days.
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