RAG_Techniques

RAG_Techniques

TLDR: This repository is a comprehensive collection of advanced Retrieval-Augmented Generation (RAG) techniques. It includes various methods for enhancing RAG systems such as query enhancement, context enrichment, advanced retrieval methods, iterative and adaptive techniques, evaluation, explainability, and advanced architectures.

2024-07-13 Github

applied-ai-engineering-samples

applied-ai-engineering-samples

TLDR: This repository contains reference guides, blueprints, code samples, and hands-on labs related to Applied AI Engineering developed by the Google Cloud Applied AI Engineering team. It includes sections on Generative AI on Vertex AI, Google Cloud AI/ML infrastructure, Research Operationalization, and various solutions catalogs.

2023-08-25 Github