I will develop a custom rag chatbot using ai, llm and your documents


About this gig
Looking for a custom AI chatbot that can understand and answer questions from your documents?
I will build a custom RAG (Retrieval-Augmented Generation) chatbot that connects your PDFs, DOCX, TXT files, or knowledge base with an AI-powered conversational interface.
Your chatbot can retrieve relevant information from your documents and provide accurate, context-aware answers instead of relying only on the AI model's general knowledge.
What I can build:
Custom RAG pipeline
AI chatbot for your documents
PDF, DOCX and TXT document processing
Vector database integration
Semantic search and document retrieval
Source citations and references
Custom prompts and AI responses
Conversation history
Knowledge-base chatbot
API integration and deployment support
I can build solutions using technologies such as Python, LangChain, LLMs, vector databases, FastAPI, and Streamlit depending on your requirements.
Whether you need an internal company knowledge assistant, document Q&A system, research assistant, or customer-support knowledge bot, I can develop a solution tailored to your use case.
Get to know Abhishek
AIML Developer
- FromIndia
- Member sinceSep 2026
- Avg. response time1 hour
Languages
Hindi, English
FAQ
What types of documents can you use for the RAG chatbot?
A: I can work with PDFs, DOCX, TXT, CSV, and other supported document formats depending on your project requirements.
What is a RAG chatbot?
A: RAG (Retrieval-Augmented Generation) allows an AI chatbot to retrieve relevant information from your documents or knowledge base before generating an answer
Q:Which AI models can you use?
A: Depending on your requirements, I can integrate suitable LLMs such as OpenAI, Gemini, or other compatible models.

