🤖 Large Language Models

PageIndex Ditches Vectors, Nails 98.7% on FinanceBench—RAG's Wake-Up Call

Vector databases? Overrated relics. PageIndex just hit 98.7% accuracy on brutal financial QA benchmarks by reasoning smarter, not searching dumber.

James Kowalski 📅 Apr 03, 2026 ⏱️ 3 min read 👁️ 0 views

⚡ Key Takeaways

PageIndex achieves 98.7% on FinanceBench by reasoning over pages, skipping vectors entirely.
Exposes vector RAG flaws: chunking tables, intent mismatches, no memory.
Promising for finance docs, but compute costs and scaling loom large.

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Investigative tech reporter focused on AI ethics, regulation, and societal impact.

#FinanceBench #PageIndex #RAG framework #VectifyAI #reasoning retrieval #vector databases #vectorless retrieval

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Originally reported by Towards AI