FeaturedRetrieval Augmented Generation
Think building your own Retrieval-Augmented Generation (RAG) system will give you a competitive edge? Think again. Companies are sinking months and hundreds of thousands of dollars into in-house AI projects, only to end up with sluggish, unsecure, and overpriced systems that can't hold a candle to existing solutions.
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Today, we’re excited to announce the GA release of Vectara’s account and corpus details APIs.
Today, we’re incredibly excited to announce that we’re announcing the GA release of Vectara’s user and team management capabilities, including our new public APIs
Vectara has had an ability to manage API keys via the Console, and even allowed indexing API keys for several months, but up until today, we’ve never released this functionality via public APIs.
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.
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.
Why Vectara is better for enterprise-scale LangChain applications
How developers can build GenAI conversational search applications with Vectara’s Retrieval Augmented Generation
A sample app demonstrating how to build a search experience powered by Vectara
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