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K2view Rated "Visionary" in Gartner Magic Quadrant for Data Integration Tools 2023
Gartner names K2view 1 of 3 Visionaries in its latest Magic Quadrant for Data Integration Tools.
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April 16, 2024
Gartner Generative AI: Shifting Gears to GenAI at the 2024 Data & Analytics Summit
Each of the many Gartner D&A summits I’ve attended had its own theme. This year it was all about getting your data ready for GenAI. Here are my takeaways.
RAG
April 10, 2024
RAG Hallucination: What is It and How to Avoid It
Although regular RAG grounds LLMs with unstructured data from internal sources, hallucinations still occur. Add structured data to the mix to reduce them.
RAG
March 21, 2024
Another AI Horror Story – Must There Always be a Human in the Loop?
With companies being held accountable for their chatbot responses, it's up to technology to make GenAI apps more responsible. GenAI data fusion is the answer.
RAG
March 19, 2024
RAG Conversational AI – Making Your GenAI Apps More Effective
Imagine users receiving fresh accurate info all the time. Retrieval-augmented generation optimizes conversational AI by injecting LLMs with enterprise data.
RAG
March 11, 2024
AI Data Fusion – New from K2view
AI Data Fusion injects enterprise data into Large Language Models – on demand and in real time – to ground GenAI apps and deliver responses users trust.
RAG
March 4, 2024
LLM Grounding, for More Accurate Contextual Responses
LLM grounding is the process of linking linguistic turns of phrase to the real world, allowing LLMs to respond more accurately than ever before.
RAG
February 28, 2024
Retrieval-Augmented Generation vs Fine-Tuning: What’s Right for You?
When your LLM doesn’t meet your expectations, you can optimize it using retrieval-augmented generation or by fine-tuning it. Find out what's best, when.
RAG
February 20, 2024
Active Retrieval-Augmented Generation – For Even Better Responses
Active retrieval-augmented generation improves passive RAG by fine-tuning the retriever based on feedback from the generator during multiple interactions.
RAG
February 18, 2024
RAG GenAI: Why Retrieval-Augmented Generation is Key to Generative AI
RAG transforms GenAI by allowing LLMs to integrate private enterprise data with publicly available information, taking user interactions to the next level.
RAG
February 14, 2024
RAG AI: Retrieval-Augmented Generation + AI = Happier Users
By injecting enterprise data into LLMs, RAG enhances AI capabilities by enabling more personalized, accurate, and relevant answers to user questions.
RAG
February 12, 2024
The RAG-LLM Relationship
Retrieval-Augmented Generation (RAG) integrates a Large Language Model (LLM) with an organization's internal data, to generate more accurate responses from...
RAG
January 28, 2024
What is Retrieval Augmented Generation
Retrieval-augmented generation is a framework for improving the accuracy and reliability of large language models using relevant data from internal sources
RAG
January 28, 2024
Gartner RAG Tips for Grounding LLMs with Relevant Internal Data
Learn how to prepare for RAG with this FREE condensed version of the 2024 Gartner report, “How to Supplement Large Language Models with Internal Data”.
RAG
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