Concept

Here’s a cheat sheet of 7 of the most popular RAG architectures. Which variants did we miss? — Weaviate • vector database (@weaviate_io)

And how you can build one easily.

LlamaIndex is a simple, flexible framework for building knowledge assistants using LLMs connected to your enterprise data.

Explore the top Retrieval-Augmented Generation (RAG) techniques of 2025, including Traditional RAG, Long RAG, Self-RAG, and more.

Two months ago user durable-racoon posted about DocumentContextExtractor, their iteration on a technique for improving the accuracy of RAG that both and had made demo implementations of. Contextual Retrieval improves the… — LlamaIndex 🦙 (@llama_index)

Here are 8 notebooks you should know about: 1. Vanilla vector search: 2. Image similarity search: 3. Hybrid search: 4. Local RAG… — Leonie (@helloiamleonie)

Explore low-hanging fruit strategies to enhance your RAG search systems and improve user experience with practical techniques.

Discover a systematic approach to enhance Retrieval-Augmented Generation (RAG) systems for improved performance and user satisfaction.

Explore inverted thinking to build a terrible RAG system and learn pitfalls to avoid for better recommendations.

Notes about my hobbies and other things I find interesting.

Notes about my hobbies and other things I find interesting.