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$
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I will build a custom rag ai chatbot with langchain, langgraph and your knowledge base
Amulya L
About this gig
Are you looking for a custom AI chatbot that answers questions from YOUR documents, databases, or knowledge base not just generic AI?
I build production-ready RAG chatbots using LangChain, LangGraph, and Claude/OpenAI that connect directly to your data and deliver accurate, context-aware answers.
WHAT I BUILD FOR YOU:
- Custom RAG chatbot connected to your PDFs, DOCX, websites, or databases
- LangGraph multi-turn agent with persistent memory
- Document Q&A system chat with your files
- Customer support AI trained on your knowledge base
- Internal company AI assistant for employee queries
- FastAPI or REST API backend for frontend integration
- MCP server integration with Claude AI
MY TECH STACK:
- LangChain + LangGraph (agent orchestration and memory)
- OpenAI GPT-4o / Claude 3.5 / Llama 3 (LLM backend)
- Pinecone / ChromaDB / FAISS (vector databases)
- Python + FastAPI (production backend)
- AWS Lambda / Docker (scalable deployment)
WHY CHOOSE ME:
- AI Engineer specializing in LLM pipelines and RAG systems
- Built multi-agent workflows, RAG apps, and MCP servers from scratch
- Clean, well-documented, production-ready code
- Fast delivery working MVP in 3-5 days
- Revisions until you are 100% satisfied
WHAT
Get to know Amulya L
Amulya L
AI Engineer specializing in RAG, AI Agents and LLMs
- FromIndia
- Member sinceJul 2025
Languages
Telugu, English
I am an AI Engineer specializing in LLMs, RAG, AI agents, and Python. I help businesses and startups build custom AI chatbots, document Q&A systems, RAG pipelines, intelligent agents, and LLM-powered applications.
My expertise includes Python, LangChain, Hugging Face, vector databases, PostgreSQL, Docker, API integration, and prompt engineering.
I focus on reliable implementation, clear communication, and scalable solutions from prototype to production. Have an AI idea or automation requirement? Feel free to message me to discuss the best approach for your project.
My Portfolio
FAQ
What information do you need to start the project?
Please share your project requirements, chatbot use case, data sources or documents, preferred LLM, required integrations, and deployment preferences. If you are unsure, message me and I will help define the right approach.
Can you integrate the chatbot with my existing application?
Yes. API, database, website, or existing application integration can be provided depending on your requirements and the selected package. Please contact me before ordering for custom integrations.
Can you integrate the chatbot with my existing application?
Yes, source code can be included as specified in the selected package. I can also provide basic setup and usage instructions for the delivered solution.
Can the chatbot answer questions from my own documents?
Yes. I can build a RAG-based chatbot that retrieves relevant information from your documents or knowledge base and uses an LLM to generate context-aware answers.
Which AI models and technologies can you use?
Depending on your requirements, I can work with OpenAI, Claude, Llama, Hugging Face models, LangChain, FAISS, Pinecone, FastAPI, PostgreSQL, and other suitable AI technologies.
