I will create custom ai chatbot using langchain rag langgraph


About this gig
Need a smart, reliable AI assistant that actually understands your business data? I build custom AI chatbots and intelligent agents using LangChain, RAG (Retrieval-Augmented Generation), and LangGraph.
What I Offer:
- Document-Trained Chatbots (RAG): Train your AI on PDFs, internal documentation, CSVs, or website links.
- Agentic Workflows: Multi-step reasoning using LangGraph for complex decision-making and workflow execution.
- Tool Calling & Database Integration: Connect your AI chatbot to external APIs, SQL/NoSQL databases, and internal tools.
- Seamless Web Integration: Easy-to-use chatbot UI widgets ready to drop into any website or application.
Why Work With Me?
- Hands-on experience building specialized AI orchestration pipelines and vector store systems.
- Focus on low latency, accurate context retrieval, and zero hallucination responses.
Please send a message before placing an order so we can discuss your data sources and architecture!
Get to know Abdullah Azmat
Full stack web apps fast and clean built to grow your business
- FromPakistan
- Member sinceSep 2022
- Avg. response time1 hour
Languages
English
My Portfolio
FAQ
How does the AI chatbot read my documents?
A: I use RAG architecture to parse your PDFs, websites, or files into a vector store, allowing the AI to pull precise answers directly from your private data.
Q: Can the chatbot take actions or call external APIs?
A: Yes! Using LangGraph and tool calling, the chatbot can interact with third-party APIs, trigger emails, query databases, or execute workflows.

