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English
$
USD
I will build a custom ai agentic chatbot with rags
Himanshu K
About this gig
Your team answers the same questions every day. The answers already exist in your documents.
I build AI chatbots that read your actual files - PDFs, help docs, website content, databases - and answer from them with citations, so every reply can be verified.
WHAT YOU GET
- A chatbot connected to your real data, not a demo
- Cited answers, so nothing is invented
- Clean code you own
- Documentation so your team can add new sources later
PICK YOUR PACKAGE
Starter: connect GPT, Claude or Gemini to one feature in your existing app.
Standard: a document Q&A chatbot over one data source, with retrieval and citations.
Premium: a RAG assistant that also acts through one API or MCP tool, with database setup.
WHY ME
6 years as a Lead Software Engineer shipping AI and data-heavy platforms to production. Stack: Python, FastAPI, LangChain, LlamaIndex, OpenAI/Claude/Gemini, vector databases.
START HERE
Send your use case, one sample document, and where the bot should live. I'll tell you which package fits - or if you need a custom quote.
Get to know Himanshu K
Himanshu K
Lead Software Engineer
- FromIndia
- Member sinceOct 2026
- Avg. response time1 hour
Languages
English, Hindi
I am a Lead Software Engineer with 6 years of experience building AI-enabled, data-intensive platforms. I own products end to end, from architecture through production deployment.
I specialize in scalable full-stack applications using React, Python and SQL/NoSQL, with a focus on LLM workflows, RAG pipelines and agentic AI. Day to day I work with FastAPI, LangChain, vector databases and cloud deployment on AWS.
Tell me the outcome you need and I will tell you honestly whether I am the right fit, and what it will realistically take.
Other AI Development Services I Offer
FAQ
What kind of AI chatbot can you build?
I build AI API integrations, document Q&A chatbots, knowledge-base assistants and tool-connected agents. The right package depends on your data sources, integrations and deployment needs.
What is RAG and why would I need it?
RAG allows the chatbot to answer questions using your own data, such as PDFs, websites, documents, databases, or knowledge bases. It helps make responses more relevant and grounded in your information.
What is included in the Starter package?
One AI model API connected to one agreed feature in your existing app, plus setup notes. It does not include a standalone chatbot, document retrieval, database setup or a new frontend. Choose Standard for document Q&A.
Are API usage and hosting included?
No. Model API usage, hosting, databases and paid third-party tools are billed separately by their providers. I will help identify the services needed for your agreed setup before work begins.
Can the assistant connect to my tools or website?
Yes. Premium includes one agreed API or MCP tool connection. Share the service name and API documentation so I can confirm feasibility. Additional tools, custom interfaces and complex permissions need a custom scope.
What do you need before starting?
Share your use case, file formats, approximate data volume, desired integrations and sample questions. Start with a non-sensitive sample you have permission to use. We will confirm the scope and required access before development.
How long does this actually take?
Starter is 4 days, Standard 10, Premium 14. If your data is messy or the scope is bigger than a package, I will tell you upfront and quote honestly rather than promise a timeline I cannot hit.
How accurate will the chatbot be?
RAG grounds answers in your documents and shows citations, which removes most hallucination. I do not promise perfect accuracy. We agree on test questions before I start and I tune against them.
