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9 RAG Techniques That Actually Improve Retrieval Quality

BACKGROUND
1 SIGNALFIRST DETECTED 22 August 2026
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How the story developed
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9 May
Beyond Vector Search: Why GraphRAG is the Next Frontier for LLMs

<h1> Beyond Vector Search: Why GraphRAG is the Next Frontier for LLMs </h1> <p>For the past year, the industry standard for augmenting LLMs has been <strong>Retrieval-Augmented

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10 May
We tried vectors, ASTs, and brute-force context stuffing for code retrieval. Graphs with LLM-generated semantics worked best. Here's what we learned.

<!-- SC_OFF --><div class="md"><p>We spent the last year building a code indexing system and tried pretty much every retrieval approach along the way. Sharing what actually worked

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8 Jul
Bigger Context Windows Didn't Make Our RAG Smarter

<p><em>We stopped measuring retrieval quality by how many tokens we could fit into the prompt.</em></p> <p>When long-context models became available, many of us made the same

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9 Apr
Web Retrieval-Aware Chunking (W-RAC) for Efficient and Cost-Effective Retrieval-Augmented Generation Systems

arXiv:2604.04936v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) systems critically depend on effective document chunking strategies to balance retrieval

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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