This project demonstrates how to build a Retrieval-Augmented Generation (RAG) application in Python, enabling users to query and chat with their PDFs using generative AI. The setup includes advanced ...

Retrieval-augmented generation, step by step; Fully local retrieval-augmented generation, step by step; In the first article, we built a simple “hello world” RAG application using Python ...

RAG Model Integration: The project seamlessly integrates the Retrieval-Augmented Generation (RAG) model, combining a retriever and a generator for effective question answering.. Langchain-powered ...

“A vector database organizes and stores vectors - numerical representations of words or phrases generated by LLMs - in a structured way,” explained Mark Nijmeijer, senior director of product ...

BM42 combines the best of traditional text-based search and vector-based search to lower the costs for RAG and AI applications, Qdrant said. Qdrant’s BM42 was announced July 2.