Vectara's Trusted Generative AI platform allows organizations to rapidly create a ChatGPT-like experience which is grounded in the data, documents, and knowledge that they have. Our serverless RAG-as-a-Service also solves critical problems required for enterprise adoption, namely: reduces hallucination, provides explainability / provenance, enforces access control, allows for real-time updatability of the knowledge, and mitigates intellectual property / bias concerns from large language models.
This is the 2nd launch from Vectara: RAG as a Service. View more
Vectara API v2
REST API simplifies Retrieval Augmented Generation
Vectara's API v2 brings an incredibly simple and easy to use retrieval augmented generation API to the market. Forget about trying to figure out text extraction, segmentation, embedding models, and hybrid search: Vectara handles it all for you
Hey all!
We heard the feedback from users that existing GenAI/RAG (Retrieval Augmented Generation) tools were too hard to use. That's why we launched v2 of our API. In API v2, you can craft a RAG request and integrate it into your application with a single HTTP call in less than 10 lines of code. You can add whatever enterprise data you have, whether it's in a rich file format like a PDF or word document or a developer-friendly format like JSON or markdown.
Vectara simplifies detecting and reducing hallucinations by integrating its own adversarial LLM (the Hughes Hallucination Evaluation Model, created by Vectara) that can validate the accuracy of summarization tasks. Vectara works in dozens of languages and can produce RAG results in milliseconds to single-digit seconds.
We'd love to see how you'd use an end-to-end RAG platform!
