I will build rag using openai, langchain and vector databases

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pranav192004
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pranav192004
Pranav Vishnoi

About this gig

Need a custom RAG (Retrieval-Augmented Generation) chatbot trained on your documents or website? I build fast, accurate, and scalable AI chatbots using OpenAI, LangChain, LlamaIndex, and Vector Databases to deliver reliable, context-aware responses from your own data.


Whether you're a startup, SaaS company, or business, I'll create a production-ready RAG solution tailored to your needs.


Services Included :


  1. RAG Chatbots for PDFs, DOCX & Websites
  2. OpenAI, ChatGPT, Claude & Gemini Integration
  3. LangChain & LlamaIndex Development
  4. Pinecone, Qdrant, ChromaDB & FAISS Integration
  5. Semantic Search & Knowledge Base Chatbots
  6. FastAPI & REST API Integration
  7. Citation & Source-aware Responses
  8. Docker & Cloud Deployment Support


Why Choose Me?


  1. Production-ready architecture
  2. Optimised retrieval & embeddings
  3. Clean, scalable Python code
  4. Secure API integration
  5. Fast delivery & clear communication


Let's build a powerful RAG chatbot that turns your documents into an intelligent AI assistant with accurate, source-backed answers.

Get to know Pranav Vishnoi

Pranav Vishnoi

ML System Engineer

5.0(20)
  • FromIndia
  • Member sinceNov 2023
  • Avg. response time1 hour
  • Last delivery3 weeks
  • Languages

    Hindi, English
I build production-ready AI systems that deliver measurable business value, not just prototypes. I specialize in LLMs, RAG, AI Agents, Machine Learning, and Edge AI, handling everything from solution architecture and backend development to deployment, optimization, and monitoring. With expertise in Python, llama.cpp, vLLM, LangGraph, Kubernetes, AWS, and GPU inference, I create scalable, reliable, low-latency, and cost-efficient AI solutions designed to perform in real-world production environments and grow with your business.

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