I will build an ai agent with langchain and langgraph for your workflow

I build custom RAG (Retrieval-Augmented Generation) chatbots that answer questions from your own documents PDFs, notes, research files, or knowledge bases instead of generic AI answers.

If you have documents your AI should "know" and you want accurate, source-backed answers, this is for you.

What I build:

RAG chatbot trained on your PDFs/text files

Accurate answers with source citations (no made-up responses)

Custom document chunking tuned to your content

Choice of LLM (OpenAI, Groq, or others)

Multimodal support handles both text and images in PDFs

Multi-step reasoning agents for complex questions (Chain-of-Thought)

Tech stack: Python, LangChain, LangGraph, FAISS, HuggingFace embeddings, vector databases

Why work with me:

I test every system on your real documents before delivery not just a demo dataset. You get clean, modular code that's easy to maintain, plus documentation so you're not stuck if you want to modify it later.

How to start:

Message me with your documents and use case. I'll confirm scope and recommend the right package before we begin no surprises mid-project.