Vector embeddings are the backbone of modern enterprise AI, powering everything from retrieval-augmented generation (RAG) to semantic search. But a new study from Google DeepMind reveals a fundamental ...
Enterprise adoption of retrieval-augmented generation has moved sensitive corporate content into a new storage format that existing security tools cannot inspect. Companies deploying internal AI ...
Yesterday amid a flurry of enterprise AI product updates, Google announced arguably its most significant one for enterprise customers: the public preview availability of Gemini Embedding 2, its new ...
PostgreSQL with the pgvector extension allows tables to be used as storage for vectors, each of which is saved as a row. It also allows any number of metadata columns to be added. In an enterprise ...
Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...
AWS announced updates to Knowledge Bases for Amazon Bedrock, which is a new capability announced at AWS re:Invent 2023 that allows organizations to provide information from their own private data ...
Google has launched EmbeddingGemma 2, an open multimodal embedding model for devices. The launch comes a year after the company introduced EmbeddingGemma for developers last year. For those unaware, ...
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