Evaluating modular RAG with reasoning models (kapa.ai)

Screenshot of kapa.ai: Evaluating modular RAG with reasoning models

First screen, captured 1 year ago.

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Screenshot of qodo.ai: Evaluating RAG for large scale codebases

Evaluating RAG for large scale codebases (qodo.ai)

26 points by GavCo 1 year ago | 7 comments

Screenshot of kapa.ai: Pruning RAG context down to what the answer actually needs

Pruning RAG context down to what the answer actually needs (kapa.ai)

137 points by emil_sorensen 3 months ago | 36 comments

Screenshot of modular.com: What about OpenCL and CUDA C++ alternatives?

What about OpenCL and CUDA C++ alternatives?(modular.com)

17 points by eatonphil 4 months ago | 2 comments

About AI Evals (hamel.dev)

172 points by TheIronYuppie 1 year ago | 40 comments

Screenshot of blogs.nvidia.com: What Is Retrieval-Augmented Generation a.k.a. RAG?

What Is Retrieval-Augmented Generation a.k.a. RAG?(blogs.nvidia.com)

62 points by teleforce 2 years ago | 21 comments

Screenshot of claix.dev: We Built an Alternative to Vector RAG for AI Agent Memory

We Built an Alternative to Vector RAG for AI Agent Memory (claix.dev)

3 points by gael_dev 19 days ago | 2 comments

A Claix blog post arguing that agentic retrieval, where agents invoke and repeat retrieval as a tool, is replacing fixed vector RAG pipelines for document agents.

agentic-rag rag ai-agents vector-databases

Looks similar

Evaluating RAG for large scale codebases(qodo.ai)

Pruning RAG context down to what the answer actually needs(kapa.ai)