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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Discover Vectara’s Four Principles for UI Development in the Age of AI.
See how Anthropic’s new Claude 3 LLM hallucinates compared to other foundation models in the Hughes Hallucination Evaluation Model (HHEM)
Vectara, the Trusted GenAI Platform for All Builders, recently completed its annual Penetration Testing as a part of its ongoing security commitment to its customers
Utilize Create-UI for a comprehensive, full-screen chat application integrated with Vectara’s chat capabilities. For more compact solutions, embed React-Chatbot within your React application, offering users a sleek, minimally intrusive chatbot widget.
Why personal API keys matter and how to use them
At Vectara, we recognize the importance of robust security in all of our authentication methods. While OAuth remains the gold standard in security with features like automated expiry and the JWT token flow, we understand it’s not always feasible for every user or scenario.
See how Google Gemma hallucinates compared to other foundation models in the Hughes Hallucination Evaluation Model (HHEM)
How the new Unstructured’s Vectara Destination Connector helps automate advanced data ingestion into Vectara
RAG Platforms’ Silent Takeover of Vector Databases
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