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$
USD
I will create a rag chatbot to answer questions from your pdfs and documents
About this Gig
Are you tired of manually searching through PDFs, documents, or website content? Get a custom RAG AI chatbot that answers questions instantly using your own data.
I will build a tailored AI chatbot that reads your PDFs, documents, or website and provides accurate, AI-generated answers based on your knowledge base. Users can ask questions in natural language and receive responses grounded in your content, with optional source citations.
Built with Python, LangChain, RAG architecture, and LLMs, your chatbot will be powered by modern technologies like FastAPI, Streamlit, React, or Next.js for the frontend, and vector databases for fast, accurate retrieval.
What you receive:
- A fully functional RAG chatbot customized to your data
- Support for PDFs, text files, CSVs, DOCX, or website crawling
- Clean, responsive UI (Streamlit, React, or Next.js)
- API integration ready for your existing tools
- Optional deployment assistance
This is custom development, not a generic template. I tailor every chatbot to your specific use case, data structure, and workflow.
Message me before ordering to discuss your project and confirm the best approach for your needs.
My Portfolio
FAQ
What type of AI chatbot can you build?
I can build custom AI chatbots, LLM applications, RAG chatbots, knowledge-base assistants, document chatbots, customer-support bots, and AI SaaS applications using OpenAI, ChatGPT, LangChain and vector databases.
Can you build a chatbot that understands my PDFs or documents?
Yes. I can build a RAG AI chatbot that processes your PDFs or documents, stores their embeddings in a vector database such as Pinecone, and uses an LLM to generate relevant answers.
