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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In the era of generative AI, trust and transparency are essential—especially for enterprises in regulated industries where AI hallucinations can have serious consequences. Vectara’s Enterprise RAG platform prioritizes explainability with citation-backed responses, advanced observability tools, and chat history search, ensuring AI-driven insights are verifiable and reliable.
How Enterprise RAG has evolved and what we can expect to see next...
Before we tackle the question at hand, let me provide some background on my journey to Vectara and how I reached this conclusion
When building something new and testing the art of the possible, crashes are bound to happen. Not just for Ferraris but for all new technology, and especially with Generative AI…
RAG Platforms’ Silent Takeover of Vector Databases
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