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Rag

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LatestCutting RAG inference costs 6x starts with deciding what never reaches the LLM Venture Beat · Aug 16

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Latest on Rag

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Cutting RAG inference costs 6x starts with deciding what never reaches the LLM

Most teams building retrieval augmented generation (RAG) systems for high stakes classification make the same architectural bet: Route every ambiguous case str…

Venture BeatAug 16Neutral −12

Cutting RAG inference costs 6x starts with deciding what never reaches the LLM

Technology

Stop graphing everything: When GraphRAG actually beats vector RAG

If you have built anything with retrieval-augmented generation (RAG) in the last two years, you have lived its central frustration: You chop your documents int…

Venture BeatAug 2

Stop graphing everything: When GraphRAG actually beats vector RAG

The cleanup trap: Stop asking RAG to fix bad data

The enterprise technology ecosystem is caught in a costly cycle. Over the past two years, millions of dollars have been funneled into generative AI pilots, yet…

Venture BeatJul 19Neutral 0

The cleanup trap: Stop asking RAG to fix bad data

Prompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers

In the past two years, businesses have been trying to fit large language models (LLMs) into support, analytics, development, and internal automation like never…

Venture BeatJun 28Neutral 0

Prompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers

Fine-tuning forgets. RAG leaks context. Hypernetworks build the model your agent needs on demand.

Enterprise teams keep watching the same thing happen. An AI agent demos beautifully, goes to production, and stalls: it runs for a short stretch, then needs a…

Venture BeatJun 19Neutral −7

Fine-tuning forgets. RAG leaks context. Hypernetworks build the model your agent needs on demand.

Leftist Rag Attacks Young Conservative Mother After She Gives Birth To First Child

The Leftist rag Daily Beast took aim at the eldest child of Transportation Secretary Sean Duffy and her newborn on Friday in an article that ridiculed the new…

Daily WireMay 30

Leftist Rag Attacks Young Conservative Mother After She Gives Birth To First Child

A 0.12% parameter add-on gives AI agents the working memory RAG can't

AI agents forget. Every time a coding assistant loses track of a debugging thread, or a data analysis agent re-ingests the same context it already processed, t…

Venture BeatMay 21Neutral 0

A 0.12% parameter add-on gives AI agents the working memory RAG can't

Context architecture is replacing RAG as agentic AI pushes enterprise retrieval to its limits

Redis built its name as the caching layer that kept web applications from collapsing under load. The problem it is targeting now has the same structure but is…

Venture BeatMay 18Bearish −35

Context architecture is replacing RAG as agentic AI pushes enterprise retrieval to its limits

Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture - c…

Venture BeatMay 17Strong bearish −73

Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

The RAG era is ending for agentic AI - a new compilation-stage knowledge layer is what comes next

The vector database category is undergoing a shift in response to the needs of agentic AI. The retrieval-augmented generation (RAG)-to-vector database pipeline…

Venture BeatMay 4Neutral 0

The RAG era is ending for agentic AI - a new compilation-stage knowledge layer is what comes next

The retrieval rebuild: Why hybrid retrieval intent tripled as enterprise RAG programs hit the scale wall

Something shifted in enterprise RAG in Q1 2026. VB Pulse data spanning January through March tells a consistent story: the market stopped adding retrieval laye…

Venture BeatApr 29Neutral 0

The retrieval rebuild: Why hybrid retrieval intent tripled as enterprise RAG programs hit the scale wall

RAG precision tuning can quietly cut retrieval accuracy by 40%, putting agentic pipelines at risk

Enterprise teams that fine-tune their RAG embedding models for better precision may be unintentionally degrading the retrieval quality those pipelines depend o…

Venture BeatApr 27

RAG precision tuning can quietly cut retrieval accuracy by 40%, putting agentic pipelines at risk

Agents need vector search more than RAG ever did

What's the role of vector databases in the agentic AI world? That's a question that organizations have been coming to terms with in recent months. The narrativ…

Venture BeatMar 12Neutral 0

Agents need vector search more than RAG ever did

Energy

Databricks built a RAG agent it says can handle every kind of enterprise search

Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to synthesize cross-document reports han…

Venture BeatMar 5

Databricks built a RAG agent it says can handle every kind of enterprise search

SurrealDB 3.0 wants to replace your five-database RAG stack with one

Building retrieval-augmented generation (RAG) systems for AI agents often involves using multiple layers and technologies for structured data, vectors and grap…

Venture BeatFeb 17Neutral 0

SurrealDB 3.0 wants to replace your five-database RAG stack with one

'Observational memory' cuts AI agent costs 10x and outscores RAG on long-context benchmarks

RAG isn't always fast enough or intelligent enough for modern agentic AI workflows. As teams move from short-lived chatbots to long-running, tool-heavy agents…

Venture BeatFeb 10Neutral 0

'Observational memory' cuts AI agent costs 10x and outscores RAG on long-context benchmarks

Enterprises are measuring the wrong part of RAG

Enterprises have moved quickly to adopt RAG to ground LLMs in proprietary data. In practice, however, many organizations are discovering that retrieval is no l…

Venture BeatFeb 1Neutral 0

Enterprises are measuring the wrong part of RAG

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 kno…

Venture BeatJan 31

Most RAG systems don't understand sophisticated documents - they shred them

MemRL outperforms RAG on complex agent benchmarks without fine-tuning

A new technique developed by researchers at Shanghai Jiao Tong University and other institutions enables large language model agents to learn new skills withou…

Venture BeatJan 22

MemRL outperforms RAG on complex agent benchmarks without fine-tuning

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