I will ai rag chatbots using langchain langgraph and openai

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Lave Kumar

About this gig

Build AI-powered chatbots and intelligent agents that turn your data into a smart assistant for your business.


These systems use advanced RAG (Retrieval-Augmented Generation) and LLM technology to answer questions from your documents, website, or database with high accuracy and context awareness.


Perfect for:

  • Customer support automation
  • SaaS AI assistants
  • Internal knowledge bots
  • Business workflow automation
  • Website or app chatbots


What you get:

  • AI chatbot trained on your data (PDFs, docs, website, database)
  • RAG-based intelligent response system
  • AI agents with memory and tool usage
  • Multi-language support (optional)
  • Secure backend with authentication
  • Database or API integration
  • Production-ready deployment code


Tech stack: LangChain, LangGraph, OpenAI, Python, FastAPI, vector databases (FAISS / pgvector), PostgreSQL, AWS


Why this service:

  • Reduces customer support workload
  • Automates repetitive queries
  • Turns your data into a searchable AI system
  • Scalable and production-ready architecture


You get a fully functional AI system built for real-world use, not just a demo.

Get to know Lave Kumar

Lave Kumar

Data Scientist and Agentic AI Specialist

  • FromIndia
  • Member sinceApr 2021
  • Languages

    Hindi, English, French, German
Portfolio: https://akki-lucky.netlify.app/ Data Scientist with over 2.5 years of expertise in Enterprise AI and agentic workflows. Key contributor to ORBIT HRMS, a system featuring 180+ RESTful APIs supporting more than 5,000 employees. Proficient in designing scalable microservices, AI Agentic workflows, and high-performance architectures utilizing FastAPI, PostgreSQL, Redis, and Docker. Experience includes implementing LLM-driven agents to automate intricate HRMS functions with secure read/write access.

My Portfolio