Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private ...
InfoWorld

Using the Pinecone vector database in .NET

If you’re building generative AI applications, you need to control the data used to generate answers to user queries. Simply dropping ChatGPT into your platform isn’t going to work, especially if ...
ZDNet

Want generative AI LLMs integrated with your business data? You need RAG

RAG is an approach that combines Gen AI LLMs with information retrieval techniques. Essentially, RAG allows LLMs to access external knowledge stored in databases, documents, and other information ...
VentureBeat

LLM integration takes Cloudera data lakehouse from Big Data to Big AI

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Cloudera got its start in the Big Data era and is now moving quickly into ...
Forbes

DataStax Tools-Up Vector Database For Generative AI Application Development

Intelligence is proliferating. As the hurly-burly surrounding development of generative AI (gen-AI) with its use of open Large Language Model (LLM) technologies designed to create ever more human-like ...
dbta

Dataiku Launches LLM Mesh in Collaboration with Snowflake, Pinecone, and AI21 Labs

Dataiku, the platform for Everyday AI, is unveiling the LLM Mesh, addressing the need for an effective, scalable, and secure platform for integrating Large Language Models (LLMs) in the enterprise. In ...
dbta

Neo4j Unveils New Vector Search Capability in Continued Support of LLM and Generative AI Applications

Neo4j, the graph database and analytics company, is announcing that it has integrated native vector search into its core database capabilities, introducing massive support for the ever-popular and ...
Business Insider

VCs are obsessed with vector databases. Here are seven AI startups in the space that have raised millions from investors.

VCs are hungry to back vector database startups and other behind-the-scenes tech that improves AI. Vector databases store and structure data that LLMs can then pull from. Business Insider has ...