RAG for the AI SDK
A practical guide to implementing retrieval-augmented generation with the AI SDK — from ingesting documents into vectors to retrieving context at query time.
Agentset.ai Blog1 min read
retrieval augmented generation
14 stories
GPT-5.4: OpenAI's RAG Regression
OpenAI released GPT-5.4 with a Pro variant for extended reasoning. We tested both on our LLM-for-RAG leaderboard across three workloads.
Agentset.ai Blog1 min readClaude Sonnet 4.6 for RAG
We evaluated Claude Sonnet 4.6 in a RAG setup across factual retrieval, synthesis, and scientific tasks compared to frontier models.
Agentset.ai Blog1 min readVoyage 4: Evaluation Notes
We tested Gemini 3 inside an actual retrieval setup and compared it directly with GPT-5.1 across five areas that matter for RAG.
Agentset.ai Blog1 min readClaude Opus 4.6 Performance in RAG
We evaluated Claude Opus 4.6 in a RAG setup across factual retrieval, synthesis, and scientific tasks versus 11 frontier models.
Agentset.ai Blog1 min readGemini 3 Flash: A strong factual RAG model
We evaluated Gemini 3 Flash in a RAG setup to understand where it excels and where it falls short—focusing on factual retrieval and grounding.
Agentset.ai Blog1 min readGPT-5.2 RAG Performance: We Tested It
We plugged GPT-5.2 into our LLM RAG leaderboard and compared it against nine other frontier models under the same RAG pipeline.
Agentset.ai Blog1 min readBest Vector Databases for RAG
We reviewed seven popular vector databases to understand how they differ in deployment, cost, and where they fit in real RAG systems.
Agentset.ai Blog1 min readOpus 4.5 is the new best model for RAG
An evaluation of Opus 4.5 inside a real retrieval setup, compared against Gemini 3 Pro and GPT 5.1 across five behaviors that matter for RAG.
Agentset.ai Blog1 min readGemini 3 vs GPT 5.1 for RAG
We tested Gemini 3 inside an actual retrieval setup and compared it directly with GPT-5.1 across five areas that matter for RAG.
Agentset.ai Blog1 min readCohere vs ZeRank: Which Reranker Actually Performs Better?
We compared Cohere v3.5 and ZeRank-1 in a RAG pipeline using a BEIR subset and a custom dataset — analyzing accuracy, latency, and LLM preference.
Agentset.ai Blog1 min readBuilding Effective RAG Pipelines: A Practical Guide
Learn how to design and implement robust retrieval-augmented generation (RAG) pipelines, from document processing to retrieval optimization.
Agentset.ai Blog1 min readBuilding a Proof-of-Concept RAG System in an Afternoon
A practical guide to quickly building a functional retrieval-augmented generation system to demonstrate the value of AI-powered document search.
Agentset.ai Blog1 min readThe Art of Document Chunking for LLM Applications
Explore the nuances of effective document chunking strategies for retrieval-augmented generation systems and how they impact LLM performance.
Agentset.ai Blog1 min read
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