I will build a rag system to chat with your documents

G
glicmack
G
glicmack
Prince V
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build a rag system to chat with your documents
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Informazioni su questo servizio

Need your team to instantly find answers from hundreds of documents?


I build custom RAG (Retrieval-Augmented Generation) systems that let you chat with your PDFs, docs, and knowledge base using AI.


WHAT I BUILD:

- Upload PDFs, docs, text files AI learns your content

- Ask questions in natural language, get accurate answers

- Source citations showing exactly where answers came from

- Semantic search that understands meaning, not just keywords


MY PROOF:

I built PDF RAG Chat (github.com/Glicmack/pdf-rag-chat) a working RAG application using ChromaDB and LLM APIs.


TECH OPTIONS:

- Vector DBs: ChromaDB, Pinecone, Weaviate

- LLMs: Claude API, OpenAI, open-source models

- Frameworks: LangChain, LlamaIndex

- Frontend: Streamlit, Next.js, React


USE CASES:

- Internal knowledge base for your company

- Customer support from your documentation

- Legal document search and analysis

- Research paper Q&A system

- Training material assistant


Every system is custom-built for YOUR data and use case.


Portfolio: princevekariya.dev

GitHub: github.com/Glicmack


Message me before ordering to discuss your requirements.

  • Motore IA

    • GPT
    • Llama
    • Claude

  • Linguaggio di programmazione

    • JavaScript
    • Python
    • TypeScript
    • React
    • PyTorch

Scopri di più su Prince V

Prince V

AI Engineer

  • DaIndia
  • Membro daapr 2026

  • Lingue

    Gujarati, Inglese, Hindi
I build AI systems that actually work in production — not just prototypes. My deployed products: - DentAI Receptionist: AI voice agent handling real calls for dental clinics - GLICMACK: 3D game asset generation using custom PyTorch models - PDF RAG Chat: Chat with any PDF using AI I specialize in: Voice AI, RAG pipelines, LLM integrations, Blender automation, and 3D generative AI. GitHub: github.com/Glicmack | Portfolio: princevekariya.dev

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