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Vectara RAG Hackathon

Vectara RAG Hackathon

Learn how SomoSim improved their educational content search with Vectara’s trusted GenAI platform, enabling practitioners to more quickly, easily, and accurately find exactly what they are looking for, regardless of how they ask.

Ofer Mendelevitch
Ofer Mendelevitch
Conversational AI: The First Step to Interacting With Your Data
Chat

Conversational AI: The First Step to Interacting With Your Data

Conversational AI has absolutely transformed the way we interact with our data. If you are yet to experience this as a consumer or business user, then you’re in for a real awakening. Having a conversation with website data as a customer can simplify your decision making process while asking complex questions to your business data can help you find instant answers. These are two practical use cases for conversational AI that can be adopted off the shelf. Let us explain how this is possible.

Nidal ZoghbiPaul Wozniczka
Nidal Zoghbi,Paul Wozniczka
Why is Metadata Important in GenAI?

Why is Metadata Important in GenAI?

Today, we’re happy to announce that Vectara’s hybrid search capabilities have just gotten even stronger with the ability to apply updates to which metadata fields can have filters and what their data types are. This blog will walk through some common use cases and how you can use this new feature.

Shane Connelly
Shane Connelly
Measuring Hallucinations in RAG Systems
Hallucination

Measuring Hallucinations in RAG Systems

Vectara launches open-source Hallucination Evaluation Model (HEM) that provides a FICO-like score for grading how often a generative LLM hallucinates in Retrieval Augmented Generation (RAG) systems.

Shane Connelly
Shane Connelly
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