Browse categories
Explore
Fiverr Pro
English
$
USD
I will create rag based ai chatbot with langchain
Varun
About this gig
I will develop a custom RAG (Retrieval-Augmented Generation) based AI chatbot that delivers accurate, context-aware responses using your documents, website content, or internal data.
Unlike basic chatbots, this solution combines embeddings, vector databases, and LLM integration to retrieve relevant information before generating responses ensuring reliable and business-ready performance.
This service is ideal for:
- Document-based AI assistants (PDF, DOCX, TXT)
- Company knowledge base chatbots
- Customer support automation
- Website AI chat integration
- Internal helpdesk systems
Whats included:
- Document ingestion and preprocessing
- Vector database integration (Chroma, Qdrant, Pinecone)
- GPT / LLM integration
- Clean web-based chatbot interface
- Deployment guidance or cloud support
Each solution is built with scalability, accuracy, and performance in mind.
Please contact me before placing an order to discuss your requirements and ensure the best solution for your use case.
Get to know Varun
Varun
Python, Web and Excel Automation, Gen AI, AI Chatbots and Agents
- FromIndia
- Member sinceMay 2023
Languages
English
Hi, I’m Varun— a Python Automation & Generative AI Developer. I help businesses save time with Excel & Web Automation, and build smart AI chatbots using LangChain, LangGraph & RAG. I create clean, optimized, and reliable solutions that automate repetitive work and enhance productivity. Let’s make your workflow smarter with automation and AI!
FAQ
Can I place an order directly without messaging you first?
No, please contact me before placing an order. This allows us to discuss your exact requirements, as effort, time, and pricing may vary by use case. Orders placed without prior discussion may not be accepted.
What is a RAG-based Chatbot?
A RAG (Retrieval-Augmented Generation) chatbot retrieves relevant information from your documents or database before generating a response using an LLM. This ensures more accurate, context-aware, and reliable answers compared to basic AI chatbots.
What types of data can the chatbot use?
The chatbot can work with PDFs, DOCX, TXT files, website content, APIs, and structured databases. Custom integrations can also be discussed based on your requirements.
Do I need to provide an OpenAI API key?
Yes, if you want the chatbot powered by OpenAI or another LLM provider, you will need to provide your API key. I can guide you through the setup process.
Is the chatbot secure for internal company use?
Yes. The system can be configured for private data usage with secure vector database integration and controlled access.
