I will create a custom ai chatbot rag with knowledge base citations


About this gig
Are your support teams or staff losing hours searching through scattered PDF manuals and Markdown docs?
I build custom RAG (Retrieval-Augmented Generation) AI Chatbots and Autonomous Agents in Node.js/TypeScript that query your proprietary knowledge base and generate accurate answers with exact citations.
What I Deliver:
Knowledge Ingestion: Parse and index PDFs, Markdown, and text files into semantic vector stores.
Vector Retrieval: High-relevance matching that prevents AI hallucinations.
️ Exact Citations: Every answer references the source document title and section ID.
Automated Escalation: Detect user frustration or out-of-scope queries to auto-generate support tickets.
️ Production Code: Clean Node.js/TypeScript architecture, .env security, and unit tests (npm test).
What's Included:
- Custom RAG Retrieval & Synthesis Engine
- Vector Embedding Indexing Script
- Sentiment & Intent Escalation Router
- Unit Tests & Setup Documentation
Why Choose Me?
- 100% test-backed codebase
- Clean modular architecture ready for Cloud deployment
- 14 days post-delivery support guarantee
Let's make your documentation intelligent! Message or order now to get started.
Get to know Achuur Mo
Expert AI Automation Developer
- FromAlgeria
- Member sinceAug 2026
Languages
French, Arabic, English
My Portfolio
FAQ
How does the chatbot retrieve answers without hallucinating?
The chatbot searches your indexed knowledge base first (RAG) and builds answers strictly using retrieved context chunks with exact citations.
What file formats are supported for the knowledge base?
PDF, Markdown, TXT, JSON, and database export tables.

