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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Enabling advanced RAG applications with Vectara Agentic
In response to growing enterprise concerns over data security and the quality of retrieval-augmented generation (RAG), Vectara is proud to introduce Mockingbird, an LLM fine-tuned specifically for RAG. Mockingbird achieves the world’s leading RAG output quality and hallucination mitigation, making it perfect for enterprise RAG and autonomous agent use cases.
Enhance your Slack and Discord communities with RAGTime – a RAG-bot from Vectara.
Vectara’s Boomerang stands out as the optimal choice for production use cases, balancing precision, embedding size, and storage costs effectively.
Today, we’re excited to announce that we’re introducing a brand new REST API for Vectara: API v2.
We are so proud of our Built By Vectara Contestants.
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.
This blog post focuses on the technical details of our latest iteration of Multilingual Reranker v1 which enables state-of-the-art retrieval performance across 100+ languages. Our latest model provides qualitative performance on par with industry leaders like Cohere and surpassing the best open source models. Our latest model also provides users with blazing-fast inference at minimal cost, with the additional capability of rejecting irrelevant text based on score-based cut-offs.
Today, we’re proud to announce 2 significant enhancements to our generative response capabilities. These new features are aimed at significantly improving the developer experience as well as giving Vectara administrators better ability to review and analyze conversations their users have had with the system.
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