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Analysts believe that all database vendors will soon start adding the Model Context Protocol to their offerings to aid developers with LLM app development.
The company is hopeful that changing its license will allow it to better compete with the Valkey fork.
At its Cloud Next conference, Google is showing off a new AI engine for AlloyDB that enables developers to embed natural language questions in SQL queries.
Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said.
The database provider said that enterprises subscribing to the database will receive support from the company to migrate their workloads.
The integration will provide developers and enterprises easier access to AI tools, better UI, support, and increased productivity, analysts say.
Analysts view the updates as Databricks’ strategy to get closer to enterprise users and increase stickiness of its offerings.
Teradata’s partnership with Nvidia will allow developers to fine-tune NeMo Retriever microservices with custom models to build document ingestion and RAG applications.
New filtering and observability functionality is similar to that of PostgreSQL, but Google has optimized it for performance.
DataStax’s AstraDB will enhance the existing vector capabilities of IBM watsonx.data, while Langflow will add flexible middleware capabilities to watsonx.ai, IBM said.
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