FeaturedResearch
Agentic RAG and multimodal agents are centers for increased excitement.
Read moreFeaturedResearchCategories
Blog - page 12
All posts
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.
Unlocking the State-of-the-Art Reranker: Introducing the Vectara Multilingual Reranker_v1
In the ever-evolving landscape of RAG and information retrieval, a balance of precision, recall, and latency will make or break the applications. We are excited to introduce our latest innovation, the Multilingual Reranker_v1. This state-of-the-art reranker, significantly enhances the precision of retrieved results across both English and multilingual datasets.
Before you go...Connect with
Connect with
our Community!
- Join us on Github
Github.
Join our discussion channel.
- Follow us on X / Twitter
X / Twitter.
Get news, company information.
- Follow us on LinkedIn
LinkedIn.
Adopt best practices in projects.
- Write us on E-mail
E-mail.
Ask your follow-up questions.
