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I will build custom rag ai knowledge assistant chatbot using python and langchain
Ayush Anand
About this gig
Want to turn your documents into an AI-powered knowledge assistant?
I will build a custom RAG (Retrieval-Augmented Generation) AI chatbot that can answer questions using your own documents and data.
I can build:
Chat with PDFs and documents
Custom RAG knowledge bases
Document Q&A systems
AI knowledge assistants
Research assistants
Internal business knowledge bots
AI document analysis applications
Custom LLM applications
Depending on your package, I can include:
Document processing and text extraction
Chunking and preprocessing
Embeddings and semantic search
Vector database integration
RAG retrieval pipeline
LLM integration
Conversation context
Metadata filtering
Streamlit interface
FastAPI backend
RAG evaluation and documentation
Technologies: Python, LangChain, LLMs, Hugging Face, Chroma, embeddings, Streamlit and FastAPI.
I focus on building functional, customized AI applications, not just basic API integrations.
Have a specific RAG or AI requirement? Message me before ordering so I can understand your requirements and recommend the right package.
Get to know Ayush Anand
Ayush Anand
I Will build a custom RAG AI chatbot using Python and LangChain
- FromIndia
- Member sinceSep 2019
- Avg. response time1 hour
Languages
Hindi, English, Japanese
AI Developer specializing in RAG, LLM, chatbot and machine learning applications, building practical solutions with Python, LangChain, vector databases, FastAPI and Streamlit.
My Portfolio
FAQ
What do you need from me to start the project?
I need your documents/data, a brief description of what you want the AI assistant to do, and any preferred LLM or deployment platform. If you're unsure about the technical setup, I can recommend an approach based on your requirements.
Can you build a chatbot that answers questions from my PDFs?
Yes. I can build a RAG-based chatbot that processes your PDFs, retrieves relevant information, and generates answers based on your documents.
Can you work with multiple documents?
Yes. The Standard and Premium packages support multi-document RAG applications. The exact number of documents depends on the package and document complexity.
Which technologies do you use?
I primarily work with Python, LangChain, Hugging Face, Chroma/vector databases, LLMs, Streamlit and FastAPI. The exact stack depends on your project requirements.
Can you integrate the RAG chatbot into my existing application?
Yes. I can provide API integration and backend support for integrating the RAG system into an existing application. Please message me first so I can review your requirements.
Can you deploy the AI application?
Yes, deployment assistance is available with the Premium package or as an additional service. The deployment approach depends on your application and preferred hosting platform.
Can you build something different from the packages?
Absolutely. If your project has custom requirements, message me before ordering. I can review the scope and provide a custom offer when appropriate.
