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Elastic and Mistral AI have announced a collaboration to enhance Elasticsearch's capabilities by integrating Mistral-embed vectors. This integration will allow Elasticsearch to store and automatically chunk these vectors, significantly improving its performance in handling AI-related tasks. The Elasticsearch Open Inference API now supports Mistral AI embeddings, marking a significant step forward in the field of vector databases. This development is expected to bolster Elasticsearch's utility in various AI and machine learning applications.
A small, portable vector database powered by SQLite for on-device RAG? 🤯 sqlite-vec is a new vector search SQLite extension written entirely in C with no dependencies, MIT/Apache-2.0 dual licensed. sqlite-vec queries: - 1 million 128-dimensional vectors in just 17ms - 500,000… https://t.co/c8gOyv8OdQ
Elasticsearch Open Inference API Now Supports Mistral AI Embeddings https://t.co/YZkJTzSMzY #artificialintelligence #ai #machinelearning #technology #Metaverse
🚀Specialized vector databases might shine in niche areas, but @MyScale DB's blend of SQL and vector search powers #LLMs with unmatched accuracy and cost-efficiency across diverse AI tasks. https://t.co/zwyQ76Vnkq #VectorDB 🔍Ready to dive into the future of #RAG and big data?…