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Vectara is an innovative platform designed to integrate powerful generative AI capabilities into applications. It specializes in retrieval augmented generation (RAG), enabling businesses to embed conversational AI, semantic search, and question-answering features into their systems. The platform is built on a hybrid-search core, ensuring a safe and secure entry point for AI-driven interactions. One of its key features is the ability to operate without training on user data, thereby minimizing risks related to data privacy.

Vectara's platform includes a purpose-built large language model called Mockingbird, which is optimized for RAG workflows. This model is designed to reduce hallucinations and provide accurate citations, making it particularly suitable for regulated industries. The platform also offers an integrated RAG pipeline, eliminating the need for customers to assemble separate components like vector databases and generation models. Additionally, Vectara's Hughes Hallucination Evaluation Model (HHEM) supports multiple languages, helping to ensure the accuracy and trustworthiness of AI outputs across diverse linguistic environments.

By providing explanations for results and incorporating security features to protect against prompt attacks, Vectara's solutions are tailored to meet the needs of businesses requiring reliable and compliant AI systems. The platform's capabilities make it an effective tool for enhancing AI-driven applications with robust search and generation functionalities.

Vectara is an LLM-powered conversational search and knowledge discovery platform which allows businesses to have intelligent conversations over their own data (think ChatGPT but for your data). Developer-first, the platform provides a simple API and gives developers access to cutting-edge NLU (natural language understanding) technology with industry-leading relevance. With Vectara’s “Grounded Generation,” businesses can quickly, safely, and affordably integrate best-in-class semantic search and question-answering into their application, knowledge base, site, chatbot, or support helpdesk. Features like “Instant Indexing,” “Cross Attentional Neural Re-ranking,” and “Abstractive Summarization'' ensure the latest information is always accessible and only the most relevant answers are presented to the user. Furthermore, results are summarized in natural language with citations provided, enabling users to understand and trust the veracity of answers. Because Vectara only indexes your own business data, the risk of hallucination is all but eliminated, i.e. the answers generated are grounded in factual truth - customer data, which is transferred and stored in encrypted form, is never used to train Vectara models. Web and application developers can sign up at no cost, with generous data limits, to easily add semantic search capabilities to their applications. Vectara’s powerful end-to-end platform is self-optimizing and easily consumed via simple APIs, getting businesses up and running in just a few minutes and without requiring the addition of any specialized engineers or infrastructure. Getting your data indexed is equally simple, thanks to support for all the standard document types and data formats found in the enterprise. Visit Vectara.com for more information.

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Business

Enterprise Search Software

Website: vectara.com

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