Explore Vectara’s original version of Retrieval Augmented Generation:
- Hybrid search – semantic & exact match
- Generative summarization with citations
- See Grounded Generation in action in the AskNews Sample App
Create ChatGPT-like experiences on your data. Grounded Generation mitigates hallucinations, bias, & copyright infringement. GenAI is finally ready for business.
Vectara automatically extracts text from PDF and Office to JSON, HTML, XML, CommonMark, and many more.
Encode at scale with cutting edge zero-shot models using deep neural networks optimized for language understanding.
Segment data into any number of indexes storing vector encodings optimized for low latency and high recall.
Recall candidate results from millions of documents using cutting-edge, zero-shot neural network models.
Increase the precision of retrieved results with cross-attentional neural networks to merge and reorder results.
Optionally generate a natural language summary of the top results for Q&A or conversational AI experiences.
The way people search is changing. They ask questions. They use shorthand. They make typos. They use voice to search. Today, users ask big questions and expect amazing results, immediately.
We start with the developer experience. Developers love Vectara. The platform provides a complete, but composable search pipeline that is API-addressable at every level.
Imagine the possibilities when a world of information, regardless of the language it was written in, is available to your users.
“Vectara is easy to use, fast, and reliable. The neural reranker is a powerful and useful feature for consistently delivering search results with high relevance from several document types that our customers index on our enterprise wiki. Vectara's API requires minimal effort to maintain in production and the feature updates have been impressive.”
Senior Software Developer, Metus