AI Chatbots & Assistants
LLMs are powerful but unreliable when you need them to answer questions about *your* data without hallucinating. I build retrieval-augmented generation (RAG) systems that ground LLMs in your knowledge base, so they answer accurately.
The Problem
Off-the-shelf ChatGPT integrations make up answers. Fine-tuned models are expensive and fragile. You need a chatbot that knows your docs, your customer FAQs, your product, and doesn't BS.
What You Get
A RAG system that retrieves from your documents before answering
Grounding in your data so no hallucinations about your product
Fast iteration cycles: update docs, the chatbot updates automatically
Multi-format ingestion: PDFs, web pages, databases, Slack history
Conversation memory and context so it feels natural
Relevant Work
Questions
What is RAG and why is it better than fine-tuning?▾
RAG retrieves relevant documents at query time, so the model answers based on your actual data, not memorized training. It's faster to update, cheaper and doesn't require retraining.
Can it integrate with our existing systems?▾
Yes. Slack, email, customer portals, internal tools - I can build the integration layer. The chatbot can query your databases and pull from Salesforce in real time.
How do you prevent it from confidently giving wrong answers?▾
Confidence scoring, retrieval quality checks and user feedback loops. I log queries without good answers and retrain. It also knows when to say "I don't know."
Ready to get started?
Let's talk about how this service fits your needs. Book a call or send a message.
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