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Deep Dive Into Mockingbird: A RAG and Structured Output Focused LLM
In this blog post, we introduce Mockingbird, Vectara’s Retrieval Augmented Generation (RAG) and structured output focused LLM, and do a technical deep dive into its performance and discuss its technical capabilities.
Generative AI Adoption Roadblocks, Pit Stops, Crashes, and Destinations
When building something new and testing the art of the possible, crashes are bound to happen. Not just for Ferraris but for all new technology, and especially with Generative AI…
Searching Hacker News
The Hacker News startup community website deserves better search
Top Large Language Models (LLMs)
The top large language models in the Summer of 2024, along with recommendations for when to use each based upon needs like API, tunable, or fully hosted.
RAGTime – A RAG-Powered Bot for Slack and Discord
Enhance your Slack and Discord communities with RAGTime – a RAG-bot from Vectara.
The Latest Benchmark Between Vectara, OpenAI and Cohere’s Embedding Models
Vectara’s Boomerang stands out as the optimal choice for production use cases, balancing precision, embedding size, and storage costs effectively.
Introducing Vectara's v2 API
Today, we’re excited to announce that we’re introducing a brand new REST API for Vectara: API v2.
Congratulations to the Winners of the First Ever Built by Vectara Contest
We are so proud of our Built By Vectara Contestants.
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