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I will build a rag chatbot or ai document QA system using llms


About this gig
Need an AI assistant that knows YOUR data, not generic ChatGPT?
I'm Dr. Jody-Ann Jones, Ph.D. Data Scientist & AWS Certified ML Engineer. I build RAG systems that let you chat with your documents with citations and minimal hallucinations.
WHAT I BUILD
- Document Q&A (PDFs, Word, Confluence, SharePoint, Notion)
- Customer support AI assistants
- Internal knowledge base chatbots
- Research & compliance document retrieval
- Semantic search over proprietary data
WHAT SETS MY RAG APART
- Hybrid search (vector + BM25 keyword matching)
- Source citations on every response
- Conversation memory for multi-turn chat
- Role-based access for enterprise
- Audit trails for regulated industries
PROVEN RESULTS
- 100K+ docs indexed, sub-second retrieval
- 92% recall@5 on regulatory documents
- Passed SEC audit on first attempt
- Zero hallucinations in compliance-critical deployments
STACK
LangChain, LlamaIndex, OpenAI, Claude, Pinecone, Weaviate, ChromaDB, FastAPI, Streamlit
Message me with what data you want searchable. I'll recommend the best approach.
Get to know Jody J.
Senior Machine Learning Engineer
- FromJamaica
- Member sinceApr 2026
- Avg. response time1 hour
Languages
English
FAQ
What document formats do you support?
PDF, Word, Excel, PowerPoint, Markdown, HTML, plain text, Confluence, Notion exports, and most structured formats. I can also ingest from APIs and databases.
Can the chatbot integrate with Slack or Teams?
Yes. I build integrations with Slack, Microsoft Teams, Discord, or embed it as a widget on your website.
How do you prevent hallucinations?
Every response is grounded in your actual documents via retrieval-augmented generation. The system includes source citations and confidence scoring for compliance-critical use cases.
What about data privacy?
Your data stays in your infrastructure. I deploy on your own cloud (AWS, GCP, Azure) with no data leaving your environment.

