XDA Developers on MSN

I replaced NotebookLM with a local LLM, and the difference is night and day

NotebookLM is only as useful as what you’re willing to give it ...
Hosted on MSN

I fed my notes into a local AI, and it surfaced connections I'd completely missed

One of the tools I’ve been relying on a lot these days is my local LLM. I use mine through LM Studio, which also lets you upload documents, and it uses RAG technology to enable interaction with your ...
VentureBeat

Vectara raises $25M as it launches Mockingbird LLM for enterprise RAG applications

Vectara, an early pioneer in Retrieval Augmented Generation (RAG) technology, is raising a $25 million Series A funding round today as demand for its technologies continues to grow among enterprise ...
ZDNet

RAG can make AI models riskier and less reliable, new research shows

Retrieval-Augmented Generation (RAG) is rapidly emerging as a robust framework for organizations seeking to harness the full power of generative AI with their business data. As enterprises seek to ...
InfoWorld

Fully local retrieval-augmented generation, step by step

How to implement a local RAG system using LangChain, SQLite-vss, Ollama, and Meta’s Llama 2 large language model. In “Retrieval-augmented generation, step by step,” we walked through a very simple RAG ...
InfoWorld

How to run RAG projects for better data analytics results

RAG can make your AI analytics way smarter — but only if your data’s clean, your prompts sharp and your setup solid. The arrival of generative AI-enhanced business intelligence (GenBI) for enterprise ...
InfoQ

Domain-Driven RAG: Building Accurate Enterprise Knowledge Systems through Distributed Ownership

Modular Retrieval Augmented Generation (RAG) applications enhance accuracy and relevancy by assigning ownership to dedicated domain experts. Metadata should be leveraged to intelligently route queries ...