I will build a ai chatbot using rag, langchain, openai, azure


À propos de ce service
Need a custom AI chatbot powered by your business data?
I will build a powerful Generative AI chatbot using RAG (Retrieval-Augmented Generation), LangChain, OpenAI, Azure OpenAI, Groq, and modern vector databases to provide accurate, context-aware responses from your documents, websites, databases, or knowledge base.
What You'll Get
Custom AI Chatbot Development
RAG-Based Document Question Answering
PDF, DOCX, CSV & Website Knowledge Integration
LangChain / LangGraph Workflows
OpenAI, Azure OpenAI, Groq, Llama & Mistral Support
ChromaDB, FAISS, Pinecone, or Weaviate Integration
Chat Memory & Conversation History
FastAPI Backend Development
Streamlit or Web-Based Frontend
API & Third-Party Integrations
Docker & Cloud Deployment Support
Use Cases
- Customer Support AI Assistant
- Internal Company Knowledge Chatbot
- Enterprise Document Search
- HR & Policy Assistant
- Legal and Financial Document Q&A
- Product Recommendation Assistant
- Website AI Chatbot
- Multi-Document Research Assistant
Why Work With Me?
Experienced AI Engineer specializing in RAG and LLM applications
Clean, scalable, and production-ready code
End-to-end development and deployment suppor
Clear communication and timely delivery
Découvrez sarabjity
I will build AI automation workflows and AI agents using Python
- DeInde
- Membre depuisoct. 2026
Langues
Anglais
FAQ
Can the chatbot answer questions from PDFs?
es, I can build RAG systems that retrieve information from PDFs, DOCX files, websites, and databases.
Which LLMs do you support?
OpenAI GPT, Azure OpenAI, Groq, Hugging Face models, Llama, Mistral, and other compatible models.
Can you deploy the application?
Yes. I can deploy on Azure, AWS, Render, Railway, VPS, or Docker environments.
Do you provide source code?
es, complete source code and documentation are included.
