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$
USD
I will build a custom ai rag chatbot
Ayush K
About this gig
Turn your documents into an intelligent AI chatbot that answers questions instantly with cited sources and zero hallucinations.
I'm a backend engineer with 4+ years of production experience building RAG systems for healthcare and enterprise platforms. Unlike generic "ChatGPT wrapper" gigs, I deliver real production pipelines: adaptive chunking, hybrid semantic + BM25 retrieval, cross-encoder reranking, and intent-aware prompts that prevent hallucinated answers.
WHAT YOU GET:
- Custom RAG chatbot tailored to your documents
- FastAPI backend with REST API endpoints
- Vector database setup (ChromaDB or Pinecone)
- Hybrid search + reranking for high accuracy
- Source citations on every answer
- Streaming responses for instant feedback
- Full Python source code you own everything
- API documentation + deployment guide
- 30 days of free post-delivery support
TECH STACK:
Python, FastAPI, LangChain, ChromaDB, OpenAI, Claude, Gemini, open-source LLMs (Llama, Mistral), GCP, Docker.
SUPPORTED FORMATS:
PDF, DOCX, TXT, Markdown, HTML, CSV, web pages, databases.
PERFECT FOR:
Customer support, internal knowledge bases, legal document Q&A, HR policy assistants, e-commerce, healthcare workflows.
Get to know Ayush K
Ayush K
Python Backend Engineer
- FromIndia
- Member sinceMay 2026
- Avg. response time1 hour
Languages
Hindi, English
Are you building an AI-powered app or backend system that needs to scale? I can help.
I'm a Python Backend Engineer with 4+ years of experience in FastAPI, PostgreSQL, and GCP. I specialize in LLM integrations, RAG pipelines, and LangChain — turning AI into production-ready systems.
What I deliver:
RAG & LLM integrations
REST APIs with FastAPI
PostgreSQL, MySQL, BigQuery
GCP deployments & data pipelines
Clean code, clear communication, no surprises. Let's build something great.
My Portfolio
FAQ
Which AI / LLM providers do you support?
All major providers: OpenAI (GPT-4, GPT-4o), Anthropic Claude, Google Gemini, and open-source LLMs like Llama 3, Mistral, and Mixtral. I'll recommend the best one for your accuracy, cost, and privacy needs.
What document formats can the chatbot handle?
PDF, DOCX, TXT, Markdown, HTML, CSV, and direct URLs (websites, sitemaps). For complex PDFs with tables or scanned content, I use specialized parsers. Notion, Confluence, and database integrations available on request.
Do I own the code after delivery?
Yes — 100% ownership. You get the complete Python source as a clean repository with documentation, ready to deploy on your own infrastructure. No vendor lock-in, no recurring fees to me. Fully yours to extend or hand off.
How do you prevent the chatbot from hallucinating answers?
Three protections: strict grounding prompts with "I don't know" fallback when context is missing, cross-encoder reranking so only top-relevance chunks reach the LLM, and a "List Then Count" strategy for aggregation queries that forces enumeration before totals.
Will you help if there are issues after delivery?
Yes — every order includes 30 days of free post-delivery support. If retrieval accuracy needs tuning, I'll iterate on chunking strategy, prompts, or reranking parameters at no extra cost. Major scope additions go through the gig extras.
Should I message you before ordering?
Yes, please do! Send me details about your documents (formats, count, sensitivity), preferred LLM, and example questions your users will ask. I'll recommend the right tier and confirm scope before you commit to an order. No pressure, no obligation.
