How to query a knowledge graph with LLM using gRAG
Google, Microsoft, LinkedIn and many more technology companies are using Graph RAG. Because? Let's understand it by building one from ...
Tag: Knowledge
Unlock organizational wisdom using voice-driven knowledge capture with Amazon Transcribe and Amazon Bedrock
Preserving and taking advantage of institutional knowledge is critical for organizational success and adaptability. This collective wisdom, comprising insights and ...
ConvKGYarn: Configurable and Scalable Conversational Knowledge Graph QA Datasets with Large Language Models
The rapid evolution of large language models (LLMs) and conversational assistants requires dynamic, scalable, and configurable conversational datasets for training ...
Intel and Salesforce researchers propose SynthKG: a multi-step document-level ontology-free knowledge graph synthesis workflow based on LLM
Knowledge Graph (KG) synthesis is gaining ground in artificial intelligence research because it can build structured knowledge representations from expansive, ...
REPLACEMENT: Untrained Representation Engineering for Managing Knowledge Conflicts in Large Language Models
Large language models (LLMs) have demonstrated impressive capabilities in handling knowledge-intensive tasks through their parametric knowledge stored within the model ...
Dive deep into vector data stores using Amazon Bedrock Knowledge Bases
Customers across all industries are experimenting with generative ai to accelerate and improve business outcomes. Generative ai is used in ...
Unlock the knowledge in your Slack workspace with Slack connector for Amazon Q Business
amazon Q Business is a fully managed, generative ai-powered assistant that you can configure to answer questions, provide summaries, generate ...
Efficient knowledge management for data teams using Notion
Editor's Image | Ideogram An organization's data teams often face complex projects with a variety of resources and dispersed structures. ...
This AI paper from KAIST, UCL and KT investigates the acquisition and retention of factual knowledge in large language models
Large language models (LLMs) have attracted significant attention for their ability to understand and generate human-like text. These models have ...
Elevate RAG for numerical analysis using Amazon Bedrock Knowledge Bases
In the realm of generative artificial intelligence (ai), Retrieval Augmented Generation (RAG) has emerged as a powerful technique, enabling foundation ...
Recommended.
