I will build a rag chatbot trained on your business data and documents


Over deze dienst
Turn your documents into an AI assistant that actually knows your business. I build RAG chatbots -- AI chatbots trained on YOUR documents, website, manuals or knowledge base. The bot retrieves real answers from your data and cites sources instead of making things up. WHAT I BUILD: - Document chatbots: upload PDFs, docs or web pages -- ask questions, get sourced answers - Website AI assistants: embeddable chat widget trained on your site content - Internal knowledge bots: HR policies, manuals, SOPs -- instant answers for your team HOW IT WORKS: 1. You share your documents or website URL 2. I build the retrieval pipeline (chunking, embeddings, vector search) with your chosen LLM 3. You get a tested chatbot -- demo link or embedded widget -- plus source code WHAT YOU GET: - Accurate, source-cited answers from YOUR data - Clean, documented source code you fully own - Easy document updates -- add new files without rebuilding Built with modern Python stacks (LangChain/LlamaIndex, vector DBs) and your choice of LLM -- OpenAI, Claude, Gemini or open-source. Message me your documents or website before ordering and I'll tell you honestly what it can do for you.
Maak kennis met Hamza Q
AI and Electrical Engineer, SEO, GEO, MATLAB, n8n, Automation
- Afkomstig uitPakistan
- Lid sindsdec 2024
- Gem. reactietijd1 uur
- Laatste levering3 dagen geleden
Talen
Engels
Andere AI-development diensten die ik aanbied
Veelgestelde vragen
What do I need to provide to start?
Your documents (PDFs, Word files, website URL, etc.). The more complete your data, the smarter the bot.
Which AI models do you use?
Your choice -- OpenAI, Claude, Gemini, or open-source models. I'll recommend based on your budget and needs.
How does RAG prevent hallucinations?
The bot retrieves answers from YOUR documents first and cites sources, instead of generating from general training data.
Can I update the documents later?
Yes -- the system is built so you can add or replace documents without rebuilding the chatbot.
