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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Hello Vectara users! We wanted to announce a few key developer-focused features that are now ready for you to try and provide us with more feedback! Some of these are the most requested features by our community, so we’re happy to be able to deliver them!
Vectara discusses the new “InstantIndex” feature and how it helps batch and incremental indexing
This is part 2 of a 2 part blog of how to crawl websites. Part 1 is available here. After talking about some of the good and bad practices to…
This is part 1 of a 2 part blog of how to crawl websites. Suppose you have a website, and on that website is a bunch of content that you…
Seeking knowledge about our world is something that all of us need. It is a task that goes back to the dawn of human civilization, ever since we figured out…
Large language models are ushering a new future for using natural language to interact with computing systems. Simple natural language interfaces may be at the core of almost all future human computer interactions presenting new possibilities to create applications, art, and stories and surface interesting content and perspectives.
Stopwords have been used in keyword search systems for decades. However, stopwords have become unreliable sources of information in different semantic search contexts often resulting in diminished search relevance and system performance.
Natural language processing can ease common frustrations while delivering relevant answers and unexpected insights.
This blog post describes different patterns for using metadata fields within Vectara, gives a real world example, and provides several code samples so you can learn how to improve the discovery of your data and apply Vectara in a variety of use cases beyond the search box.
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