venturebeat
Why your LLM bill is exploding — and how semantic caching can cut it by 73%

Our LLM API bill was growing 30% month-over-month. Traffic was increasing, but not that fast. When I analyzed our query logs, I found the real problem: Users ask the same questions in different ways."What's your return policy?," "How do I return something?", and "Can I get a refund?" were all hitting our LLM separately, generating nearly identical responses, each incurring full API costs.Exact-match caching, the obvious first solution, captured only 18% of these redundant calls. The same semantic question, phrased differently, bypassed the cache entirely.So, I implemented semantic caching based on what queries mean, not how they're worded. After implementing it, our cache hit rate increased to 67%, reducing LLM API costs by 73%. But getting there req [...]

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venturebeat
Microsoft's Fabric IQ teaches AI agents to understand business operations, not just data patterns

Semantic intelligence is a critical element of actually understanding what data means and how it can be used.Microsoft is now deeply integrating semantics and ontologies into its  Fabric data platfor [...]

Match Score: 130.62

Destination
Trump’s ‘Big, Beautiful Bill’ is a middle finger to US solar energy

The so-called “Big, Beautiful Bill” will, if passed, make sweeping changes to the US’ clean energy market. While some of the worst provisions affecting the industry were stripped out during Sena [...]

Match Score: 78.15

venturebeat
Under the hood of AI agents: A technical guide to the next frontier of gen AI

Agents are the trendiest topic in AI today — and with good reason. Taking gen AI out of the protected sandbox of the chat interface and allowing it to act directly on the world represents a leap for [...]

Match Score: 77.28

venturebeat
Most RAG systems don’t understand sophisticated documents — they shred them

By now, many enterprises have deployed some form of RAG. The promise is seductive: index your PDFs, connect an LLM and instantly democratize your corporate knowledge.But for industries dependent on he [...]

Match Score: 74.80

venturebeat
Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

AI vibe coders have yet another reason to thank Andrej Karpathy, the coiner of the term. The former Director of AI at Tesla and co-founder of OpenAI, now running his own independent AI project, recent [...]

Match Score: 73.31

venturebeat
How xMemory cuts token costs and context bloat in AI agents

Standard RAG pipelines break when enterprises try to use them for long-term, multi-session LLM agent deployments. This is a critical limitation as demand for persistent AI assistants grows.xMemory, a [...]

Match Score: 70.05

venturebeat
A weekend ‘vibe code’ hack by Andrej Karpathy quietly sketches the missing layer of enterprise AI orchestration

This weekend, Andrej Karpathy, the former director of AI at Tesla and a founding member of OpenAI, decided he wanted to read a book. But he did not want to read it alone. He wanted to read it accompan [...]

Match Score: 66.37

venturebeat
This tree search framework hits 98.7% on documents where vector search fails

A new open-source framework called PageIndex solves one of the old problems of retrieval-augmented generation (RAG): handling very long documents.The classic RAG workflow (chunk documents, calculate e [...]

Match Score: 54.76

venturebeat
Red teaming LLMs exposes a harsh truth about the AI security arms race

Unrelenting, persistent attacks on frontier models make them fail, with the patterns of failure varying by model and developer. Red teaming shows that it’s not the sophisticated, complex attacks tha [...]

Match Score: 54.00