Chat With Your Data (RAG)
Give your customers and team an AI assistant that answers from your own documents, products, and knowledge base, with sources cited and nothing made up.
Get a Free QuoteAn AI That Actually Knows Your Business
General AI chatbots guess from whatever they were trained on, which is how they end up confidently wrong about your pricing, your policies, or your products. Retrieval-augmented generation fixes that. I build assistants that first search your own content, then answer only from what they find, and cite the exact source so every reply is traceable and trustworthy.
The result is an AI you can put in front of customers and staff with confidence. It deflects repetitive support questions, helps prospects find the right product, and gives your team instant answers from manuals and policies, all grounded in your real information. When the answer is not in your knowledge base, it says so instead of inventing one, protecting your brand and your customers.
- Answers grounded in your own content, not generic training data
- Every response cites its source for full transparency
- Ingests PDFs, docs, web pages, catalogs, and help articles
- Private, secured index kept out of public model training
- Embeds on your website, portal, or internal tools
- Refuses to guess when the answer is not in your data
- Knowledge base stays current as your content changes
What's Included in Every RAG Chat Build
Content Ingestion
I gather and prepare your documents, product data, and web content so the assistant has the right knowledge to draw from.
Vector Knowledge Base
Your content is embedded and stored in a private, searchable index built for fast, relevant retrieval.
Cited Answers
Every response is generated from retrieved passages and shows the source, so users can verify what they read.
Data Security
Encrypted connections, scoped access, and provider settings that keep your data private and out of public training.
Chat Interface
A clean, responsive chat widget or internal tool that fits your brand and embeds where you need it.
Updates & Tuning
I keep the knowledge base current and refine retrieval and prompts so answers stay accurate over time.
Frequently Asked Questions
What is Retrieval-Augmented Generation (RAG) and how is it different from ChatGPT?
RAG connects an AI model to your own documents, products, and knowledge base before it answers. Instead of guessing from general training data, it retrieves the exact passages relevant to a question and answers from them, then cites the source. That means accurate, on-brand answers grounded in your real content rather than generic or invented information.
Will the AI make things up or hallucinate?
The whole point of RAG is to prevent that. Answers are generated only from the documents the system retrieves, and every response can cite the source it came from. If the information is not in your knowledge base, the assistant is configured to say so rather than invent an answer, so you can trust what it tells your customers and staff.
What kinds of documents and data can it use?
It works with PDFs, Word documents, web pages, help articles, product catalogs, spreadsheets, policy manuals, and most structured or unstructured text. Content is ingested, indexed, and kept up to date so the assistant always answers from your current information.
Where does my data live, and is it secure?
Your content stays in a private index that only your assistant can query. I build with access controls, encrypted connections, and provider options that keep your data out of public model training. We scope exactly which documents the assistant can read so sensitive material stays protected.
How much does a RAG chat project cost?
Every build is project-based because the right scope depends on how much content you have, where it lives, and where the assistant needs to appear, such as your website, an internal portal, or a support tool. Schedule a free quote and I will give you a clear, fixed proposal that fits your budget.
Ready to Let Customers Chat With Your Data?
Schedule a free consultation to scope your RAG assistant.