I will build a production ready rag chatbot with langchain openai


Sobre este Serviço
Are you looking for an intelligent AI chatbot that answers questions from YOUR data with 95% accuracy?
I will build a custom RAG (Retrieval Augmented Generation) chatbot using LangChain and OpenAI that integrates with your documents, websites, or databases.
WHAT YOU GET:
- Custom RAG chatbot trained on your data (PDFs, websites, databases)
- LangChain implementation with OpenAI GPT-4 or Claude
- Vector database setup (Pinecone, Weaviate, or ChromaDB)
- Clean, production-ready code with documentation
- API endpoints for easy integration
- Testing and deployment support
PERFECT FOR:
- Customer support automation
- Knowledge base Q&A systems
- Document search and retrieval
- Internal company wikis
- Educational platforms
TECH STACK:
Python, LangChain, OpenAI API, FastAPI, PostgreSQL, Vector Databases, Docker
HOW IT WORKS:
1. You share your requirements and data sources
2. I build a prototype in 48 hours
3. We refine based on your feedback
4. Final delivery with full documentation
WHY CHOOSE ME:
I specialize exclusively in production LLM systems with real deployment experience. You'll get clean code, fast responses, and a chatbot that actually works under real traffic.
Conheça mais sobre abdulghani
AI Chatbot Developer RAG LangChain and LLM Integration Specialist
- A partir deEmirados Árabes Unidos
- Membro desdejun. de 2024
- Responde em aprox.:1 hora
- Última entrega9 meses
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Perguntas frequentes
Q: What data formats do you support?
A: PDFs, Word documents, websites, CSV, JSON, databases, and custom APIs.
Q: Can you integrate with my existing website?
A: Yes! I provide API endpoints that work with any platform.
Q: What languages does the chatbot support?
A: English by default. Multilingual support available in Standard and Premium packages.
Q: Do I need to provide an OpenAI API key?
A: Yes, you'll need your own API key. I'll help you set it up.
Q: Will the chatbot work after delivery?
A: Absolutely! You get production-ready code with clear documentation.
