Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
InfoWorld

Databricks says its Instruction Retrieval offers better AI answers than RAG in the enterprise

Databricks says Instructed Retrieval outperforms RAG and could move AI pilots to production faster, but analysts warn it ...
CIO Applications

The Next Era of Enterprise AI: Powered by Retrieval

Widespread amazement at Large Language Models' capacity to produce human-like language, create code, and solve complicated ...
Geeky Gadgets

Unlock Hidden Data Insights with GraphRAG: The Future of AI Retrieval

What if your AI could not only retrieve information but also uncover the hidden relationships that make your data truly meaningful? Traditional vector-based retrieval methods, while effective for ...

Data, Platforms And Agents: How Artificial Intelligence Will Define The Next Decade

Companies investing in unified, managed and rich data layers will drive innovation in the coming decade. Through these ...
InfoWorld

What is retrieval-augmented generation? More accurate and reliable LLMs

Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG) is a ...
Forbes

The Power Of RAG: How Retrieval-Augmented Generation Enhances Generative AI

Rahul is the Chief Product and Marketing Officer for Innodata, a global data engineering company powering next-generation AI applications. Generative AI is transforming industries and lives. It ...