
Search Toolkit is a composable framework for building production search pipelines for AI applications.
Will Mistral's Search Toolkit documentation page remain publicly accessible by June 30, 2026?
Resolves by Jun 30, 2026
Search Toolkit is an open source framework that combines data ingestion, retrieval, and evaluation into a single system for building search pipelines in AI applications. Teams building search infrastructure currently spend significant engineering time assembling separate tools with different interfaces and data assumptions, and this toolkit aims to reduce that integration work by providing a shared interface across all three components. The framework supports multiple retrieval methods including sparse retrieval and dense embedding-based retrieval, works across cloud and on-premises environments, and includes built-in evaluation metrics to measure search quality independently from generation quality. This matters particularly for enterprises managing multiple search problems across different data sources and for AI agents that need to access enterprise context at scale.

The all-cash deal gives MoEngage access to technology that assigns AI agents to individual customers.

A new update for Google Home could make it less likely your smart home cameras mistake you for someone else, just because you're facing away from the camera. Starting June 23rd, Google's expanding its facial recognition feature so that people you've tagged in your Familiar Faces library can continue to be identified when their faces aren't clearly visible, using "additional non-biometric signals (body size, clothing color, etc.)." The Familiar Faces library will also begin aut

In this tutorial, we build a speech recognition and translation workflow using NVIDIA Canary-1B-v2. We begin by setting up the required audio, NeMo, NumPy, and SciPy dependencies, then load the Canary model on a GPU-enabled runtime for efficient inference. From there, we prepare audio into a clean 16 kHz mono format, perform English ASR, translate speech into multiple languages, generate word and segment timestamps, export translated subtitles as an SRT file, test long-form transcription, run b
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