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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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.
Conversica delivers Conversation Automation solutions powered by neural networks to help people engage in authentic two-way conversations, get meaningful answers, and enjoy a delightful customer experience.
We’re in a transformative moment in computer science. AI breakthroughs like GPT-3, Copilot, DALL-E and Stable Diffusion are changing how computers understand, interpret, and interact with human language
Not too long ago, chatbots and assistants didn’t work well. The ones that did, like Amazon Alexa, were developed by companies with enormous R&D budgets and specialized ML and NLP…
Semantic search, based on deep neural networks, is changing information retrieval.
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