Everything there is to find on tag: RAG.
Databricks lets its AI search model decide when to stop
Databricks is introducing Adaptive Instructed-Retriever, a retrieval model that determines on a per-query bas...
Tag: RAG
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JetBrains releases Mellum2 coding model
JetBrains has released Mellum2 as open source, a 12B-parameter model built for software engineering environme...
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RAG ‘2.0’: the Instructed Retriever links AI agents to the right data
Agentic AI relies on a multitude of technological innovations. One of the most notable is Retrieval-Augmented...
MariaDB Enterprise Platform 2026 adresses developing agentic AI
MariaDB launches Enterprise Platform 2026. With built-in RAG pipelines and AI agents, MariaDB aims to help de...
Dell AI Data Platform gets new storage options
Dell Technologies announces improvements to its AI Data Platform to accelerate AI workloads. With new integra...
SAS RAM streamlines processing of unstructured data
SAS launches Retrieval Agent Manager (RAM) to help companies convert unstructured data into actionable insigh...
MongoDB brings search and vector search to local environments
Developers can now use search and vector search functionality in MongoDB Community Edition and Enterprise Ser...
Progress Agentic RAG makes unstructured data accessible
Progress Software has announced Progress Agentic RAG, a RAG-as-a-Service platform that helps companies extrac...
Kioxia’s RAG software balances AI’s SSD speed and accuracy
Chip manufacturer Kioxia has released an update to its AiSAQ software. This vector search library is designed...
QNAP brings RAG feature to Qsirch engine
QNAP introduces RAG Search Beta, a new feature in the Qsirch 5.6.0 search engine that leverages cloud LLMs an...