I will build a rag ai chatbot using deepseek, chatgpt, llm, ai ml and open source ai


About this gig
Build a Custom RAG AI Chatbot with DeepSeek, ChatGPT & LLMs
Looking for an intelligent AI chatbot that understands context and provides accurate responses? I specialize in developing Retrieval-Augmented Generation (RAG) chatbots using DeepSeek, ChatGPT, and LLMs for seamless, human like conversations.
What Youll Get:
- Custom AI chatbot trained on your specific data
- RAG powered retrieval for precise and context aware answers
- DeepSeek & ChatGPT integration for smart, engaging interactions
- Vector database & embeddings for fast, relevant searches
- Multi turn memory to maintain conversation flow
- API integration & deployment for websites, apps, and messaging platforms
- Fine tuning & optimization for industry specific needs
- Scalable & secure solutions to support business growth
- Ideal for: Customer support, Ecommerce, virtual assistants, business intelligence, and more.
Lets build your AI chatbot today! Contact me to get started.
Get to know Sabrina Manahil
Expert in mobile and web development, AI chatbots, SaaS, GPT LLM, ML
- FromPakistan
- Member sinceNov 2024
Languages
Spanish, Russian, English, German
My Portfolio
FAQ
Can you train the chatbot on my own data?
Yes! I can integrate your documents, website content, or any structured data to fine-tune the chatbot for your specific needs.
Which AI models do you use?
I work with DeepSeek, ChatGPT, and other LLMs, depending on the requirements of your chatbot.
Can this chatbot be integrated into my website or app?
Absolutely! I can deploy the chatbot on websites, mobile apps, and messaging platforms via API integration.
Do you provide support after delivery?
Yes, I offer post-delivery support based on the selected package. If you need long-term maintenance, I also provide extended support plans.
What industries can this chatbot be used for?
It is perfect for customer support, e-commerce, virtual assistants, business intelligence, healthcare, finance, and more.

