I will build a custom ai chatbot using rag and langchain

Looking for a custom AI chatbot that can answer questions using your own documents and knowledge base?

I will build a custom RAG (Retrieval-Augmented Generation) chatbot using Python, LangChain, LLMs, vector databases and a user-friendly interface.

What I can build:

1. PDF and document-based AI chatbots
2. Customer support chatbots
3. Knowledge-base assistants
4. FAQ chatbots
5. Internal document Q&A systems
6. RAG chatbots using your own data
7. Streamlit-based AI chatbot interfaces

Technology I can use:

• Python
• LangChain
• RAG
• LLMs
• ChromaDB
• Hugging Face embeddings
• Ollama / API-based models
• Streamlit

Your chatbot can retrieve relevant information from your documents and generate context-aware answers instead of relying only on general model knowledge.

You will receive:

1. Working chatbot
2. Source code
3. RAG pipeline
4. Knowledge-base setup
5. Basic documentation
6. Testing and revisions

Please contact me before ordering if your project has specific requirements or integrations.