Tagged "semantic-search"
7 articles tagged semantic-search, 23 February 2026 to 7 October 2026. Newest first.
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Google DeepMind Releases EmbeddingGemma 2: A 740M Multimodal Embedding Model for On-Device AI
Google DeepMind has released EmbeddingGemma 2, an open-source multimodal embedding model that processes text, audio, and video while running in just 567MB of memory. Built on Gemma 4, this 740M parameter model enables efficient semantic search and retrieval on-device without cloud dependencies.
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A local-first grid of grids for notes (similar to treesheets)
New open-source tool for local-first note-taking with hierarchical grid structure, designed for offline operation and on-device storage without cloud dependencies.
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Show HN: Turn Meeting Recordings into Searchable Transcripts. All Local
A new tool enables local transcription and search of meeting recordings without sending data to cloud services. This demonstrates practical on-device inference for speech-to-text workflows.
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Local Semantic Search Engine in Rust, No External DB
LocalMind brings a lightweight semantic search implementation written in Rust that operates without external database dependencies, ideal for self-contained local search applications.
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SQL Server 2025 Adds Built-in Chunking and Vector Support
Microsoft SQL Server 2025 introduces native vector database capabilities and chunking utilities, streamlining local LLM deployment with RAG and semantic search workflows.
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Elastic Introduces Best-in-Class Embedding Models for High Performance Semantic Search
Elastic announces optimized embedding models designed for efficient semantic search, enabling local deployment of vector search capabilities without cloud dependencies.
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Elastic Introduces Best-in-Class Embedding Models for High Performance Semantic Search
Elastic releases optimized embedding models designed for local deployment and semantic search applications. These models enable efficient vector search on-device without external API dependencies.