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I will build an ai chatbot trained on your documents and website
Etienne T.
About this gig
Your customers ask the same questions every day. Your documents already have the answers. I connect the two.
I build AI chatbots grounded in YOUR content (PDFs, docs, website) using RAG, the same architecture I used for my country's first legal AI assistant: 30,000+ documents, every answer backed by verified citations, running in production under real traffic.
WHY MY BOTS ARE DIFFERENT
- No hallucinations: if the answer is not in your documents, the bot says so
- Sources shown: every answer can cite where it came from
- Fully yours: complete source code, deployed where you want
- Bilingual: French and English, natively
WHAT YOU GET
- A chatbot trained on your documents and/or website
- Web interface or embeddable widget for your site
- Clean, documented Python code
STACK: Python, LangChain, OpenAI, Claude or Gemini (your choice), Qdrant vector database, FastAPI, Docker.
Applied AI engineer, 3 years of production experience. Message me with your use case BEFORE ordering and I will tell you honestly what fits your budget.
Get to know Etienne T.
Etienne T.
Applied AI Engineer, AI Agents, RAG, Voice AI and ETL Data Pipelines
- FromBenin
- Member sinceNov 2021
- Avg. response time1 hour
- Last delivery3 years
Languages
English, French
Applied AI engineer, 3 years of production experience. I led the first legal AI assistant publicly launched in my country: 30,000+ documents, verified citations, live under real traffic. I also built real-time voice agents (sub-second latency) piloted with a major bank, and ETL pipelines processing 20,000 events per night from 13 sources.
I build AI systems that work in production: RAG chatbots grounded in YOUR documents (no hallucinations), AI agents, voice agents, data pipelines. Python, FastAPI, LangChain, OpenAI/Claude/Gemini, Qdrant, Docker. French native, English fluent.
FAQ
Which AI model do you use?
OpenAI, Claude or Gemini, depending on your budget. You pay the AI provider directly and I optimize the cost: my production system runs at about $0.14 per complex query.
How many documents can the bot handle?
From a single PDF to tens of thousands of pages. My production system searches 30,000+ documents with hybrid semantic search. Pricing scales with volume, message me for large corpora.
Who owns the code?
You do. Full source code and documentation delivered with every package.
Can you put it on my website?
Yes: an embeddable chat widget for any site (WordPress, Shopify, custom), or a full API if you have developers.
