Evidence brief
Query Agent Search Mode rewrites natural-language requests into one or more Weaviate queries and returns matching objects; the new filtering parameter can choose the default recall or the stricter precision.
Query Agent Search Mode rewrites natural-language requests into one or more Weaviate queries and returns matching objects; the new filtering parameter can choose the default recall or the stricter precision.
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Source attributionX · @weaviate_io
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@FireworksAI_HQ announced it will join @antimetal, @braintrust, and @browserbase at The AI Dev Stack: Beyond Code. The post said that beyond coding agents, the more interesting work is the tech stack for getting them into production and keeping them reliable, and provided an RSVP link.
Original sourceLlamaIndex released ExtractBench, covering 370 enterprise documents and 14 systems, with a focus on testing long-list completeness; it says Frontier VLMs achieve F1 scores of 8.9–35.8% on the longest documents.
Original sourceWhatsApp introduced an optional feature, Scam Alert, which uses on-device machine learning models under end-to-end encryption to identify potential scam messages; message content does not leave the device or get automatically reported.
Original source@Llama_index reposted @jerryjliu0’s post: the team wrote a 36-page ArXiv white paper on ExtractBench, calling it an effort to create a comprehensive, schema-guided, real-world-relevant benchmark.
Original source@dair_ai said Ai2, Carnegie Mellon, and University of Washington studied normalization, GQA, pretraining context length, and sliding-window attention, finding that combining more than three of them significantly reduces long-context performance, and released OlmPool.
Original source