Question-answering: don't search, just ask

We build and support models optimized for both semantic understanding and exact keyword matches, with summaries grounded in indexed data.

This reduces hallucinations during generation, provides a Factual Consistency Score for each answer, and allows real-time data updates.

Vectara combats hallucinations with transparency through linked citations, allowing users to review summarized results directly without extra setup.

Citations are one of the best ways to show the power of Retrieval Augmented Generation (RAG).

Use Vectara to enable users to search in one language across content written in other languages and get accurate, relevant results.

Vectara supports cross-language search, the ability to search in one language for content written in another language.