Page 2 - Vector Database News Today

Discover how to use RAG to improve your document search experience with Spring AI and OpenAI GPT. Learn how to make your own documents more useful.

Shares of Cloudflare have gained 30% since the Q3 earnings report in early November. Investors are now focusing on the cloud platform providers multiple ways to monetize AI.

An ESG audit is a complex, document-intensive process, but GenAI holds the potential to address the central challenge faced by auditors.

"Microsoft (US), Elastic (US), Alibaba Cloud (China), MongoDB (US), Redis (US), SingleStore (US), Zilliz (US), Pinecone (US), Google (US), AWS (US), Milvus (US), Weaviate (Netherlands), and Qdrant (Berlin) Datastax (US),

/PRNewswire/ -- The global Vector Database Market size is expected to grow from USD 1.5 billion in 2023 to USD 4.3 billion by 2028 at a CAGR of 23.3% during...

Customers are deploying Elasticsearch Relevance Engine as their platform for building generative AI applications using vector search and hybrid search capabilities.

The new Oracle Database 23c arrives with 300+ features, but its the new AI and ML features will truly enable enterprises to fully extract the value of generative AI.

In the age of generative AI (genAI), vector databases are becoming increasingly important.

Vector databases are the unsung heroes of the modern AI movement, storing unstructured data such as images, videos and text to enable people and systems to search uncategorized content. The snowballing demand for generative AI has thrust myriad vector database startups into the spotlight, securing bucketloads of cash en route. In April alone, we saw Pinecone and Weaviate raise $100 million and $50 million respectively to grow their vector database smarts, while the same month fledging vector d...

Mantium Launches Chirps: An Open-Source Solution for Vector Database Security