A production-ready Retrieval Augmented Generation (RAG) system built from scratch for legal document intelligence. Upload any PDF, ask questions, and get grounded answers with source citations — ...

The motivation of the article is use AI with my financial statements as context and ask questions around those. In order to build everything locally had to use RAG approach. The statements in this ...

Train. Break. Defend. AI Systems. An open-source platform for AI security training, red/blue teaming, CTF, benchmarking, and research. Runs 100% locally. No cloud, no paid APIs, no data leaves your ...

I built a standard RAG pipeline with langchain, Qdrant, and docker. In indexing pipeline, loaded the pdf and splitted it on basis of characters(1000 characters per chunk and an overlap of 200 ...