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I will build a custom rag chatbot


Raj T
About this gig
Need a custom AI chatbot that answers questions using your own documents or business data?
I will build a Retrieval-Augmented Generation (RAG) system that retrieves relevant information from your knowledge base and uses an LLM to generate contextual answers.
What I can build:
- PDF and document question-answering systems
- Knowledge-base and website-content chatbots
- Semantic search and vector database pipelines
- RAG applications using LangChain
- Integration with LLM APIs such as Google Gemini and supported OpenAI-compatible providers
- Python backends using Flask or FastAPI
Technologies: Python, LangChain, embeddings, Chroma, FAISS, and Hugging Face.
I have built a RAG-based learning assistant with document ingestion, vector storage, semantic retrieval, and LLM-based answer generation.
Please contact me before ordering so we can discuss your data sources, preferred model, deployment requirements, and project scope.
Let's build an AI solution tailored to your use case.
Get to know Raj T
Raj T
Artificial Intelligence Engineer
- FromIndia
- Member sinceSep 2026
Languages
Hindi, Marathi, English
I am an AI/ML Engineer passionate about building real-world Gen AI applications using LLMs, RAG systems, and deep learning. I have experience developing end-to-end AI solutions with Python, Flask, LangChain, and LangGraph, ranging from model fine-tuning to deployment. I specialize in working with open-source LLMs like LLaMA and Mistral to create impactful, scalable AI agents.
