I will build a rag system to chat with your documents

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.