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Developing Applications with Retrieval Augmented Generation
How developers can build GenAI conversational search applications with Vectara’s Retrieval Augmented Generation
Retrieval Augmented Generation: Making Generative AI Safe, Trustworthy, and More Relevant
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.
New Release: “Grounded Generation”
Get accurate, dependable answers from your data with fewer hallucinations
Large Language Models for Code Generation – Part 2
Will code-generating LLMs replace developers? Probably not anytime soon
Large Language Models for Code Generation - Part 1
What are code-generating LLMs? Helping developers be more productive
Vectara-ingest: Data Ingestion made easy
A collection of crawlers for the Vectara community, making crawling and indexing documents quick and easy
Avoiding hallucinations in LLM-powered Applications 12
LLM hallucinations and how to avoid them with Grounded Generation
Building An LLM-Powered Search Box with Vectara
A sample app demonstrating how to build a search experience powered by Vectara
Large Language Models Use Cases and Applications
Large Language Models and the applications they power, like ChatGPT, are all over the news and our social media discussions these days. This article cuts through the noise and summarizes the most common use cases to which these are successfully being applied.
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