📚 Retrieval Augmented Generation (RAG)

A comprehensive series of 2 articles covering retrieval augmented generation (rag) topics in depth.

April 1, 2024

Vector Database - Pinecone

In this article, we delve into Vector Databases by using Pinecone and explore the fundamentals of vector embeddings, indexes, and essential components of these databases. Furthermore, it will provide a guide on setting up a Vector Database on Pinecone, walking through the installation process, obtaining API keys, and initializing client connections.

Database Vector-Databases Pinecone

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March 14, 2025

Retrieval Augmented Generation (RAG) with Vector Databases

The article delves into Retrieval-Augmented Generation (RAG), which integrates retrieval and generative models to enhance GenAI applications efficiently. It highlights the architecture of RAG, utilizing vector databases for data retrieval and response generation.

LLMs RAG Vector-Databases Database

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