Why RAG Fails (and How to Fix It) | Introducing Knowledge Hubs

Votre vidéo commence dans 10
Passer (5)
La méthode vendre des programmes à 5000 euros et plus

Merci ! Partagez avec vos amis !

Vous avez aimé cette vidéo, merci de votre vote !

Ajoutées by admin
0 Vues
This video breaks down why standard Retrieval-Augmented Generation (RAG) tools and LLMs often fall short when applied to complex business documents. AI typically delivers only superficial answers when professionals need deep, verifiable insights.

Learn about an advanced approach called Index Knowledge paired with Knowledge Hubs that can perform a sophisticated, multi-step analysis across entire data rooms to find the exact information you need, complete with clickable citations to prevent hallucinations. The system gives AI Agents a true corporate memory and enables them to tackle complex tasks like due diligence and claims analysis with reliable, up-to-date context.

0:00 - Why standard RAG is not enough for professional work
0:38 - Introducing Knowledge Hubs
1:20 - How V7's "Index Knowledge" technology works
1:57 - Connecting AI Agents to Knowledge Hubs
2:19 - Use Case: Due Diligence on a Data Room
2:52 - Creating a self-populating, entity-centric knowledge base
3:26 - The future of the AI-powered CRM

Find out more on how V7 Go's Knowledge Hubs and AI Agents can help your business: https://www.v7labs.com/go/agents

Learn more about V7 - https://www.v7labs.com
Follow us on LinkedIn: https://www.linkedin.com/company/v7labs
Follow us on X (formerly Twitter): https://twitter.com/v7labs

#RAG #generativeai #knowledgemanagement #AIforbusiness #agenticai #documentanalysis #V7Go #duediligence #aiagents #retrievalaugmentedgeneration #automation #artificialintelligence #datarooms
Catégories
Intelligence Artificielle & Business
Mots-clés
artificial intelligence, machine learning, ML

Ajouter un commentaire

Commentaires

Soyez le premier à commenter cette vidéo.