KalyanKS-NLP/rag-zero-to-hero-guide
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Comprehensive guide to learn RAG from basics to advanced.
Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications without requiring deep experience in AI. The solution includes integrations with Amazon Bedrock and its included LLMs, such as Amazon Titan, and pre-built connectors for 3rd-party LLMs.
$ git clone https://github.com/aws-solutions/generative-ai-application-builder-on-aws.git▲ +5 ★ this week
Comprehensive guide to learn RAG from basics to advanced.
Application implementation with business use cases for safely utilizing generative AI in business operations
MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.
RAG with langchain using Amazon Bedrock and Amazon OpenSearch
See how to augment LLMs with real-time data for dynamic, context-aware apps - Rag + Agents + GraphRAG.
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21 Lessons, Get Started Building with Generative AI
Data from GitHub · snapshot Nov 13, 2026