Local LLMs are fantastic, and they keep getting better at a staggering pace. I have non-negotiable reasons for preferring a local setup over relying on cloud giants like Claude or ChatGPT. Because of ...

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 ...

Artificial intelligence startup Cohere Inc. today launched Embed 4, its latest AI model designed to provide embeddings for search and retrieval for AI applications such as assistants and agents.

Google announced a new multi-vector retrieval algorithm called MUVERA that speeds up retrieval and ranking, and improves accuracy. The algorithm can be used for search, recommender systems (like ...

Google’s open-source Gemma is already a small model designed to run on devices like smartphones. However, Google continues to expand the Gemma family of models and optimize these for local usage on ...

Loon, the new storage engine behind Milvus 3.0 and Zilliz Vector Lakebase, serves real-time search, large-scale discovery, and analytics from a single copy of vector data on low-cost object storage — ...