Kinetica began offering a ChatGPT interface earlier this year, but company executives said database query accuracy can be a problem with the open Gen AI technology and customers have expressed ...

Citing privacy and security concerns over public large language models, Kinetica is adding a self-developed LLM for generating SQL queries from natural language prompts to its relational database for ...

LEDGE MCP Server does not expose data to LLMs, removes token costs as a barrier to Agentic AI, and delivers accurate, executable multi-step analytics plans. The LEDGE MCP Server removes friction ...

SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...

This extends even further outside of SQL, where the LLM is equipped to handle tasks for decision-making relating to time-series, graph, and spatial expertise. “Kinetica has led the market with ...

AWS researchers have published a paper that pitches a proprietary LLM-based debugger, dubbed Panda, against OpenAI’s GPT-4. AWS researchers are working on developing a large language model-based ...

As incredible as large language models (LLMs) are, enterprises can't take full advantage. Even the most common use cases—customer service chatbots, marketing writing and code assistance with ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Toronto-based AI startup Cohere has launched Embed V3, the latest ...

Semantic caching is a practical pattern for LLM cost control that captures redundancy exact-match caching misses. The key ...