Mistral AI announced today the public preview of Search Toolkit, a composable framework designed to streamline the development of production search pipelines for AI applications. The company stated that teams currently spend excessive engineering time on integrating separate tools for ingestion, retrieval, and evaluation, each with distinct interfaces and data assumptions. Search Toolkit consolidates these components into a single framework with a shared interface, allowing teams to focus on improving search quality rather than maintaining integrations. The tool is open source and compatible with cloud, on-premises, and edge infrastructure. According to Mistral, search infrastructure remains more complex than necessary, with teams often dedicating more time to assembling systems than enhancing search quality. Ingestion, retrieval, and evaluation typically require separate tools, leading to weeks of integration work before running queries. Search Toolkit aims to reduce this overhead by providing consistent processing and indexing patterns across different data sources within a unified framework. *Source: [mistral](https://mistral.ai/news/search-toolkit)*