Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.

Zerobus Ingest支持数千个并发客户端，可实现单表超过10Gbps的聚合吞吐量，每个连接每秒可处理高达100MB的数据。据Databricks介绍，这项托管服务采用无服务器架构，可自动扩展以匹配工作负载，无需手动配置。

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

Databricks has announced a major new update to the popular data analytics cluster framework Apache Spark, adding support for the R statistical programming language in an effort to make life easier for ...

Databricks has launched Zerobus Ingest, a serverless service that streams data directly to the lakehouse. The solution is designed to eliminate the ...

Databricks Inc. today announced the general availability of Zerobus Ingest, a new serverless service within its Lakeflow Connect suite that simplifies and accelerates real-time data ingestion into the ...

SAN MATEO, Calif., July 20, 2021 /PRNewswire/ -- dotData, a leader in full-cycle enterprise AI automation solutions, today announced that its award-winning Automated Feature Engineering (AutoFE) ...