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I will build custom chatbot using rag, gpt, llama and agentic ai
Amarta W
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Looking for an custom gpt or rag chatbot that can answer questions using your own data with high accuracy and reliable answers?
I will build rag chatbot for your website, customer support, and FAQs. This rag chatbot uses your documents, knowledge base, or PDFs to give accurate answers. Perfect for businesses, SaaS, and e-commerce looking for automation.
What you will get:
A fully functional AI chatbot trained on your documents
Upload FAQs, PDFs, or product details for instant Q&A
Smart conversation with context memory
Accurate and reliable responses based on provided data (no random answers)
Deployment on cloud or your server
Tech Stack & AI Tools:
LLMs: GPT-4, GPT-4o, Claude, LLama, Gemini
Backend: FastAPI / Node.js backend
Frameworks: LangChain / LlamaIndex
Vector Databases: Pinecone, FAISS, ChromaDB, Qdrant
Embeddings: OpenAI / HuggingFace
Why work with me?
Proven experience in AI rag chatbots development
Expertise in Python, FastAPI, embeddings, and vector databases
Where can this be used?
- Website chatbots
- Automated customer support systems
- Internal knowledge assistants
- Compliance assistant
What I Need From You:
Your Data and LLM API key
Conoce a Amarta W
Amarta W
Artificial Intelligence Developer
- DePakistán
- Miembro desdesep 2024
Idiomas
Francés, Español, Hindi, Urdu, Inglés
I’m a Full Stack Developer with 1+ year of experience building scalable web applications and AI-powered solutions. I am specialized in building AI chatbots, LLM integrations, and machine learning applications.
I help clients turn ideas into a production ready systems with clean code and efficient performance.
My Expertise:
Full Stack Web Development (MERN / AI applications)
Retrieval-Augmented Generation (RAG) Chatbot Development
REST APIs & Backend Systems
Machine Learning & NLP Solutions
If you're looking for AI-powered apps, chatbots, or full stack solutions, feel free to reach out.
Mi porfolio
FAQ
What is a RAG chatbot?
A RAG chatbot (Retrieval-Augmented Generation chatbot) is an AI system that answers questions using your own data instead of generic knowledge. It retrieves relevant information from your documents and generates accurate responses.
How is a RAG chatbot better than a normal chatbot?
A RAG chatbot provides more accurate and reliable answers because it uses your specific data (PDFs, FAQs, databases), reducing hallucinations compared to standard AI chatbots.
What data can I use to train a RAG chatbot?
You can use PDFs, documents, FAQs, website content, product data, or internal knowledge bases to power your RAG chatbot.
Which technologies are used in your RAG chatbot?
My RAG chatbot uses advanced LLMs like GPT-4 or Claude, along with vector databases such as Pinecone, FAISS, or ChromaDB, and frameworks like LangChain or LlamaIndex.
Can you integrate the RAG chatbot into my website?
Yes, I can integrate the RAG chatbot into your website, web app, or customer support system for seamless user interaction.
