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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Vectara takes center stage at GITEX Dubai, showcasing the future of Generative AI and RAG technology in one of the world's premier innovation hubs.
Using UDF-based reranking for fine-grained control over your search results with Vectara
Overview The best RAG systems utilize many different types of models (embedding model, generative LLM) to achieve the best, and highest quality results. When you build a small RAG POC,…
Vectara’s Hallucination Evaluation Model surpasses 2 million downloads as the fight against LLM hallucinations continues
In the fast-paced world of startups, back-office tasks like HR, finance, and IT can become overwhelming. That’s where automation steps in, not just as a tool for efficiency but as a way to free up time for innovation and creative work
Rather than continuing my career solely in the banking sector, Vectara offers me the chance to participate directly in this revolution wherever it creates the most value
Vectara adds new powerful capabilities to allow rerankers to be “chained” together to give you a balance of business rules and neural reranking
How to add Observability to your Vectara AI Assistants and Agents with Arize Phoenix
Vectara enables developers and businesses to easily embed generative AI into applications without needing data science expertise. As a serverless, end-to-end Retrieval-Augmented Generation (RAG) platform, it cuts deployment time from years to weeks. With proprietary LLMs, scalability, and cost efficiency, Vectara offers flexible deployment options, ensuring trust, control, and adaptability for businesses driving AI innovation.
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