I will build custom rag pipelines vector search and ai web applications


About this gig
Want to build an AI Web Application powered by real RAG (Retrieval-Augmented Generation) and semantic vector searchnot just a basic wrapper?
Hi, Im Aditya, Founder & Lead Engineer at DORVANTECH. I engineer production-grade AI applications, custom RAG pipelines, and real-time LLM systems using Next.js 16, React 19, TypeScript, Python, Google Gemini, OpenAI, and Firebase GenKit.
What I Build:
* Custom RAG Pipelines (Chat with PDFs, Docs, SQL Databases, or custom data)
* Semantic Search & Matching Engines (Resume/Job/Product matchers using vector embeddings & cosine similarity)
* Full-Stack AI Web Apps with Auth, Prisma, PostgreSQL & PDF Export
* Real-time AI Interfaces & Automated LLM Workflows
Tech Stack: Next.js, React, Node.js, Python, PostgreSQL, Prisma, Supabase, LangChain, OpenAI/Gemini APIs, Vector Databases, and WebSockets.
Message me before ordering with your workflow requirements so we can map out the architecture!
Get to know Aditya Dorvan
Full Stack Nextjs , AI Agents , RAG Systems Engineer
- FromIndia
- Member sinceOct 2026
- Avg. response time1 hour
Languages
Hindi, English
FAQ
Can the AI answer strictly from my company documents without hallucinations?
Yes! Using a RAG architecture with strict system prompts and confidence thresholds, the AI will only answer using your approved documents and cite sources accurately.
Do you provide the full source code?
Yes, 100% ownership of clean, well-documented source code is provided with every package, along with deployment support.

