SurrealDB 3.0 launches with $23M in new funding and a pitch to replace multi-database RAG stacks with a single engine that handles vectors, graphs, and agent memory transactionally.

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.

Enterprise AI has a data problem. Despite billions in investment and increasingly capable language models, most organizations still can't answer basic analytical questions about their document ...

Native integrations reduce setup time and ongoing maintenance by making it easy to ingest, index, and continuously ...

Retrieval-augmented generation (RAG) has become a go-to architecture for companies using generative AI (GenAI). Enterprises adopt RAG to enrich large language models (LLMs) with proprietary corporate ...

Big-data readiness startup Illumex Technologies Inc., which aims to overcome the challenges associated with structured information, said today it has closed on a $13 million seed funding round.

However, when it comes to adding generative AI capabilities to enterprise applications, we usually find that something is missing—the generative AI programs simply don't have the context to interact ...

What if you could transform the chaos of unstructured data into actionable insights with just a few tools? Imagine an AI-powered system that not only understands your documents, spreadsheets, and PDFs ...

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 ...

AI’s power is premised on cortical building blocks. Retrieval-Augmented Generation (RAG) is one such building block, enabling AI to produce trustworthy intelligence under given conditions. RAG can be ...