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I will build rag systems with vector search and openai
Shubham K
About this gig
Do you want to "Chat with your Data" but don't know how to build it?
Generic AI models like ChatGPT don't know your business. They hallucinate or give general answers. You need a RAG (Retrieval-Augmented Generation) System that answers questions based strictly on your private documents, PDFs, or database.
I am an AI Engineer specializing in building production-ready RAG systems. I don't just write scripts; I build intelligent pipelines that retrieve accurate information and cite the sources.
- Custom Knowledge Base: PDFs, Word, CSV, Notion, or Website data.
- Vector Search: Using Pinecone, Weaviate, or ChromaDB for semantic understanding.
- Intelligent Retrieval: Hybrid search (Keyword + Semantic) to ensure high accuracy.
- No Hallucinations: Strict system prompts to ensure the AI sticks to your data.
- LLMs: OpenAI (GPT-4o), Claude 3.5, or Local LLMs (Llama 3 via Ollama).
- Frameworks: LangChain, LlamaIndex, LangGraph.
- Vector Stores: Pinecone, Supabase, ChromaDB, FAISS.
- Frontend: Streamlit, Chainlit, or Custom Next.js UI.
I understand the nuances of chunking and embeddings (crucial for accuracy).
I can build "Agents" that not only answer but take action (via LangGraph).
Scalable architecture.
Get to know Shubham K
Shubham K
Full Stack Dev, Backend Architect, AI Automation and API Specialist
- FromIndia
- Member sinceNov 2019
- Last delivery1 year
Languages
English, Hindi
I’m a Top Rated Full-Stack Developer with 5+ years of experience in building scalable backend systems using Node.js, Golang, MongoDB, and automating workflows with Power Automate. From custom APIs and CRMs to AI/LLM-powered apps, I deliver robust, clean solutions for startups and enterprises.
Skilled in React, NextJs, Angular & React Native. Whether it’s automation, messaging systems, or complex integrations, I solve it with code. Let’s build something powerful.
Other AI Development Services I Offer
FAQ
What is RAG?
RAG (Retrieval-Augmented Generation) allows the AI to search your specific documents (PDFs, internal data) to find the answer, rather than relying on its public training data.
Is my data secure?
Yes. We can use private vector databases and ensure your data is only accessed by the AI when answering a query. It is not used to train the public ChatGPT model.
Can this be integrated into my existing frontend?
Definitely. I can provide a REST API or integrate with your React/Vue/Next.js frontend.
What if I want a custom AI agent with memory?
That’s exactly what Langchain does, I’ll build it modular and customizable.
Can you use free models instead of OpenAI?
Yes! I can set up local models like Llama 3 using Ollama if you have the hardware, or use open-source APIs to reduce costs.
Can it read my entire website?
Yes, I can build a scraper to ingest your website's help center or blog and turn it into a chatbot.
