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I will build a production ready rag chatbot trained on your docs, pdfs, or website
Uttam Kumar
About this gig
Tired of AI chatbots that make things up or ignore your actual content?
I build production-grade RAG (Retrieval-Augmented Generation) chatbots that answer questions using YOUR documents, website, or knowledge base accurately, every time.
Whether you need a customer support bot, an internal knowledge assistant, or a smart product FAQ, I'll deliver a fully deployed, working system, not just a demo.
What I built:
Full RAG pipeline (chunking, embeddings, vector search, LLM response)
Support for PDFs, Notion, websites, Google Docs, and databases
Vector stores: Pinecone, Weaviate, Chroma, or pgvector
LLM backends: GPT-4o, Claude 3.5, Mistral, or Llama 3
Guardrails to prevent hallucinations and off-topic responses
REST API or embeddable chat widget
Why me:
I'm a production AI engineer, not a no-code hobbyist. Everything I deliver is clean, documented code you actually own. I've built RAG systems handling 100k+ documents with sub-second retrieval.
Deliverables:
Fully functional RAG chatbot
Source code (GitHub repo)
API documentation
7-day post-delivery support
Message me before ordering. I'll scope your project and confirm the right package for your needs.
Get to know Uttam Kumar
Uttam Kumar
AI Agent Developer, RAG Chatbot Expert, and Automation Engineer
- FromBangladesh
- Member sinceMay 2025
- Avg. response time1 hour
- Last delivery6 months
Languages
Bengali, English
I build AI systems that businesses actually use — not demos.
RAG Chatbots → your documents become a 24/7 assistant that answers with citations, never guesses.
AI Agents → multi-step workflows that run automatically — lead enrichment, CRM updates, email drafts.
Voice Receptionists → answers calls, books appointments, sends SMS — 24/7, no salary.
Stack: Python · LangChain · n8n · LangGraph · ChromaDB · Gemini · FastAPI · Vapi
Every delivery: GitHub repo + Loom walkthrough + full documentation.
My Portfolio
FAQ
What types of documents and data sources can you work with?
I can ingest PDFs, Word docs, websites (via crawling), Notion pages, Google Docs, plain text files, CSVs, and database exports. If you have a custom source, message me before ordering and I'll confirm compatibility. Multi-source setups (e.g. your website + a PDF manual) are supported from the Standa
Will the chatbot make up answers that aren't in my documents?
No — that's the core reason to use RAG over a generic chatbot. Every response is grounded in your actual content, and I build guardrails that instruct the bot to say "I don't have that information" rather than guess. I also configure fallback messages for off-topic questions so the bot stays on-bran
Do I own the code after delivery? Can I modify it?
Yes, 100%. You receive the full source code via a private GitHub repo or ZIP file. There are no licensing fees, no vendor lock-in, and no ongoing dependency on me unless you choose to hire me for maintenance. The code is clean, commented, and documented so your own dev team can take it forward.
Are there ongoing API costs after delivery? What should I budget?
Yes — the LLM (e.g. OpenAI or Anthropic) and vector database (e.g. Pinecone) charge per use. For a typical small-to-medium business chatbot handling a few hundred queries per day, expect roughly $20–$80/month in API costs. I'll provide an honest estimate based on your volume during scoping. If cost
How does delivery work? What will I actually receive?
You'll receive: (1) a working chatbot deployed to a live URL or as an embeddable widget, (2) the full source code in a GitHub repo, (3) API documentation, and (4) a short video walkthrough showing how everything works. For Standard and Premium tiers, I also provide a short guide on how to update you
Which AI model will power my chatbot — ChatGPT, Claude, or something else?
Your choice — I work with GPT-4o, Claude 3.5, Mistral, and Llama 3. Most buyers go with GPT-4o for its speed and reliability. Claude is excellent if you have very long documents (it handles large contexts better). Open-source models are ideal if you want zero per-query costs or need to keep data ful
Is my data safe? Will my documents be used to train AI models?
Your documents are never used to train any AI model. OpenAI's API and Anthropic's API operate under enterprise-grade data policies — your content is processed for the query and not retained for training. If you have strict data residency or privacy requirements, I can build the system using fully lo
I'm not sure which package is right for me. How do I choose?
Basic — one document source, delivered as an API, no UI needed. Good for developers who'll integrate it themselves. Standard — multiple sources, guardrails, and an embeddable chat widget you can drop onto your site. Good for most businesses. Premium — full deployment with user authentication, admin
What happens when I want to add new documents or update the content?
I build the pipeline so re-ingesting new content is a straightforward process — typically running a script or uploading files to a folder, not re-engineering anything. For Standard and Premium deliveries, I include a simple guide covering exactly how to do this.
Do I need my own server or cloud account to host this?
Not necessarily. For Basic and Standard packages I can deploy to a free or low-cost tier on Railway, Render, or Vercel — no AWS knowledge needed. For Premium, I'll deploy to your preferred cloud (AWS, GCP, Azure) or a managed platform. If you have nothing set up,
