Vectara for retrieval
Vectara’s Boomerang model provides unrivaled accuracy and relevance across languages.
Accurate and relevant retrieval is often an afterthought
You can spend months building complex systems with LLMs and vector databases, only to end up with an AI assistant or agent that hallucinates and gives wrong answers. Instead, you could use Vectara for accurate retrieval without the hassle.
True to its word - Vectara offers accurate searches focused solely on our documentation, ensuring swift and accurate results with no hallucinations. Their product just works and does not require deep AI/ML knowledge to use.
Vectara gives you industry-leading retrieval right out-of-the-box
Superior information retrieval means answers are precise, accurate, and relevant. Vectara’s retrieval model is among the best in the world.
Leveraging Hybrid Search, it provides the most pertinent answer regardless of a query’s length, level of ambiguity, language, or provided context.
Vectara gives users ultimate control to dial in the desired levels of semantic or keyword search for your specific use case.
Best-in-class Boomerang model
Boomerang reduces latency by up to 25% and leverages retrieval augmented generation to eliminate hallucinations.
The power of hybrid search (semantic + keyword)
Vectara uses hybrid search, combining LLM-based retrieval and Boolean exact match to find the most relevant products, support cases, and documents.
Superior cross-language retrieval
Vectara supports cross-language search for over 100 languages.
That means your users can search in one language for content written in another (e.g., your US team can search for something in English and see results that include German-language content from your DACH team).
All of this happens automatically in Vectara. There’s no need to set up manual third-party translation, custom NLP rules for different languages, or a litany of synonyms that map words and concepts (like you’d have to with many other systems).
