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

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...
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 ...
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 ...
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 ...
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 ...
MUO on MSN

Local LLM setup: how to use RAG and an embedding model to stop wasting context

Local LLMs degrade fast when context fills up. An embedding model and RAG pipeline fixes that — and runs entirely on your machine.
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 ...
InfoWorld

Retrieval-augmented generation, step by step

RAG is a pragmatic and effective approach to using large language models in the enterprise. Learn how it works, why we need it, and how to implement it with OpenAI and LangChain. Typically, the use of ...
XDA Developers on MSN

I added these MCP servers to my local LLM stack, and one of them replaces a $249 paid tool

These MCP servers make my local LLM even better.