Generation

Generative AI, within the RAG context, empowers organizations to create precise, context-aware outputs from their data. Vectara offers advanced tools to help you craft tailored responses, summaries, and insights. These capabilities improve accuracy, and enhance the value of your AI-driven applications.

Mockingbird: Vectara's LLM

Explore Mockingbird, Vectara's advanced LLM designed for Retrieval-Augmented Generation (RAG).

Achieve superior RAG output quality, enhanced citation accuracy, structured data generation, and multilingual performance.

Summarizers

Discover Vectara's advanced summarization options, including Mockingbird and GPT-powered configurations for citations, tables, and RAG outputs.

Tailor summarization settings like max tokens, temperature, and penalties to fit your application requirements.

Advanced Prompt Customization

Leverage advanced options like custom prompt templates, character limits, and model-specific settings for granular summarization control.

Tailor summaries to your exact needs, including chatbot-friendly outputs.