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									Data &amp; AI - Discussions				            </title>
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                        <title>RAG vs long context, is retrieval still worth it with huge context windows</title>
                        <link>https://iteventsbook.com/discussions/tech-data-ai/rag-vs-long-context/</link>
                        <pubDate>Mon, 14 Sep 2026 08:41:35 +0000</pubDate>
                        <description><![CDATA[our vendor says we can skip vector search and just put the relevant project documents into a large context window. That sounds much simpler than chunking, embeddings and retrieval. Has anyon...]]></description>
                        <content:encoded><![CDATA[<p>our vendor says we can skip vector search and just put the relevant project documents into a large context window. That sounds much simpler than chunking, embeddings and retrieval. Has anyone replaced RAG this way for a real knowledge base?</p>]]></content:encoded>
						                            <category domain="https://iteventsbook.com/discussions/tech-data-ai/">Data &amp; AI</category>                        <dc:creator>retrieval_rita</dc:creator>
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                        <title>graphrag vs vector search for questions about decisions over time</title>
                        <link>https://iteventsbook.com/discussions/tech-data-ai/graphrag-vs-vector-search/</link>
                        <pubDate>Mon, 14 Sep 2026 05:16:39 +0000</pubDate>
                        <description><![CDATA[Our RAG system can answer what a document says. It struggles with questions like why a contract changed, who approved it and what happened afterward across email, CRM and shared drives. Peop...]]></description>
                        <content:encoded><![CDATA[<p>Our RAG system can answer what a document says. It struggles with questions like why a contract changed, who approved it and what happened afterward across email, CRM and shared drives. People keep suggesting GraphRAG. Is that solving a real problem or adding a graph because graphs are fashionable again?</p>]]></content:encoded>
						                            <category domain="https://iteventsbook.com/discussions/tech-data-ai/">Data &amp; AI</category>                        <dc:creator>mcp_curious</dc:creator>
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                        <title>RAG evaluation metrics, how are you testing quality without thousands of labels?</title>
                        <link>https://iteventsbook.com/discussions/tech-data-ai/rag-evaluation-metrics/</link>
                        <pubDate>Sun, 13 Sep 2026 08:51:45 +0000</pubDate>
                        <description><![CDATA[We&#039;ve a working assistant and every demo produces a different opinion about quality. I want a repeatable evaluation, but we don&#039;t have people to label thousands of questions. What is the sma...]]></description>
                        <content:encoded><![CDATA[<p>We've a working assistant and every demo produces a different opinion about quality. I want a repeatable evaluation, but we don't have people to label thousands of questions. What is the smallest useful setup?</p>]]></content:encoded>
						                            <category domain="https://iteventsbook.com/discussions/tech-data-ai/">Data &amp; AI</category>                        <dc:creator>entity_edge</dc:creator>
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