FeaturedHallucination
Vectara launches the open source Hughes Hallucination Evaluation Model (HHEM) and uses it to compare hallucination rates across top LLMs including OpenAI, Cohere, PaLM, Anthropic’s Claude 2 and more.
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Blog - Application Development - Page 5
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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.
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.
5 Reasons to Use Vectara’s LangChain Integration
Why Vectara is better for enterprise-scale LangChain applications
Developing Applications with Retrieval Augmented Generation
How developers can build GenAI conversational search applications with Vectara’s Retrieval Augmented Generation
Building An LLM-Powered Search Box with Vectara
A sample app demonstrating how to build a search experience powered by Vectara
Say Hello to Vectara's “API Playground”
Hello Vectara users! We wanted to announce a few key developer-focused features that are now ready for you to try and provide us with more feedback! Some of these are the most requested features by our community, so we’re happy to be able to deliver them!
Introducing Vectara InstantIndex
Vectara discusses the new “InstantIndex” feature and how it helps batch and incremental indexing
How Conversica delivers Conversation Automation with neural networks
Conversica delivers Conversation Automation solutions powered by neural networks to help people engage in authentic two-way conversations, get meaningful answers, and enjoy a delightful customer experience.
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