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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Learn what it means to be one of the first three women at an AI tech startup
Rethinking the human-computer interface in the era of GenAI
How developers can build GenAI conversational search applications with Vectara’s Retrieval Augmented Generation
While generative AI is a powerful technique that promises to revolutionize how we interact with computers, it has serious drawbacks. Vectara’s Retrieval Augmented Generation approach addresses those drawbacks, making generative AI safer and more cost-effective to use.
Get accurate, dependable answers from your data with fewer hallucinations
Will code-generating LLMs replace developers? Probably not anytime soon
What are code-generating LLMs? Helping developers be more productive
A collection of crawlers for the Vectara community, making crawling and indexing documents quick and easy
LLM hallucinations and how to avoid them with Grounded Generation
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