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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Building a RAG pipeline with Vectara and Elasticsearch
Use React-Search to add Vectara semantic search to your React apps with a few lines of code
Automating data ingestion for 350+ sources into Vectara’s GenAI platform using the Airbyte destination connector.
See how Phi 2 compares to Mixtral 8x7B and Titan Express in the Hughes Hallucination Evaluation Model (HHEM)
Understanding the content of your corpus with Vectara’s new document management capability.
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.
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