Vectara launches the open source Hughes Hallucination Evaluation Model (HHEM) and uses it to compare hallucination rates across top LLMs including OpenAI, Cohere, PaLM, Anthropic’s Claude 2 and more.
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Blog - Retrieval and Search - Page 2
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Introducing Boomerang – Vectara’s New and Improved Retrieval Model
TL;DR In this blogpost we cover the importance of retrieval models for search and generative AI use-cases, and we announce the release of our new state-of-the-art multilingual retrieval model, named Boomerang, that is available for use in the Vectara platform. We compare performance numbers between Boomerang and several other embedding APIs and models and demonstrate Boomerang’s high quality retrieval and generalization capabilities. Finally we discuss real-life quality improvements seen by a Vectara design partner for their use-case.
How to Implement Hybrid Search Into Your Product for Better Customer Experiences
For app developers and product managers, implementing hybrid search into your application can be a game-changer for findability and improved user experiences. We break down the process of implementation, best practices, and considerations for when you want to bring hybrid search to your products and users.
Boosting eCommerce Conversions with Semantic Search
Traditional approaches for eCommerce search have hit their limits, especially when there is a wide variety of products and services and wide variability in how they are described. We explored technical options to tackle this issue, and found that combining traditional keyword based approaches with modern semantic search techniques yielded the best results
Vector Search: What Is Vector Search and How Does it Work?
Dive deep into the mechanics of Vector Search, where data meets geometry to redefine the future of search algorithms.
The Great Search Disruption
Rethinking the human-computer interface in the era of GenAI
Search by Meaning
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…
Natural Language will be the Dominant Computer Language of the Next Decade
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.
3 ways LLM-powered search transforms the customer experience
Natural language processing can ease common frustrations while delivering relevant answers and unexpected insights.
The High Cost of Keyword Search
Semantic search, based on deep neural networks, is changing information retrieval.
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