In-Memory Vector Database: A simple, custom-built database to store document vectors and metadata in memory.; Cosine Similarity-Based Retrieval: Implements cosine similarity to find the closest ...

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 ...

In the context of RAG, vector databases play a crucial role by providing the necessary data chunks that augment the LLM's responses, ... Python Support: Provides an easy-to-use Python SDK, ...

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 ...

Without a vector database, managing and retrieving these vectors would be as cumbersome as finding a specific book in the world’s largest library, drastically slowing down the AI's performance.