InfoWorld

Using Neo4j’s graph database for AI in Azure

Once you get past the chatbot hype, it’s clear that generative AI is a useful tool, providing a way of navigating applications and services using natural language. By tying our large language models ...
Finextra

Your LLM Will Wish You Had Used a Knowledge Graph

The problem: Generative AI Large Language Models (LLMs) can only answer questions or complete tasks based on what they been trained on - unless they’re given access to external knowledge, like your ...
techtarget

Use RAG with LLMs to democratize data analytics

Organizations can use retrieval-augmented generation with large language models to democratize data analytics, lowering the technical skill barrier employees need to use data in daily tasks. LLMs ...
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 ...
InfoQ

Graph RAG: Building Smarter Retrieval Workflows with Knowledge Graphs

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
dbta.com

RAG Has a Dirty Little Secret: Here’s How to Clean It Up and Get GenAI Right

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 ...
techtimes

How RAG and Vector Databases Improve LLMs

Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) are two distinct yet complementary AI technologies. Understanding the differences between them is crucial for leveraging their ...
dbta.com

Memgraph’s Atomic GraphRAG Speeds Up the Use of Graph-Based RAG Across Multiple Data Sources

Memgraph, a leader in open-source, in-memory graph databases, is introducing a new capability designed to accelerate business adoption of graph-based retrieval-augmented generation (GraphRAG), Atomic ...
I Programmer

Ingres vs Postgres MVCC Explained With Neo4j's LLM Knowledge Graph Builder

unstructured data such as pdfs, text documents, YouTube videos, and web pages, into a knowledge graph stored in Neo4j, promising much better accuracy than simple RAG (Retrieval-Augmented Generation).
techtarget

What is retrieval-augmented generation (RAG) in AI?

Retrieval-augmented generation (RAG) is an AI framework that retrieves data from external sources of knowledge to improve the quality of responses. This natural language processing (NLP) technique is ...
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 ...