Building GenAI Applications with Vectara and Unstructured

Vectara's serverless RAG platform provides an easy-to-use API for building enterprise-ready and scalable chat applications with Retrieval Augmented Generation pipelines. Unstructured, a Python library, brings advanced preprocessing of various file types to simplify data ingestion into RAG pipelines. The Vectara connector to Unstructured enables robust text ingestion from files into Vectara, automating the process. By using the Unstructured Ingest CLI and create-ui tool, developers can build question-answering demos with GenAI applications using CFPB reports as an example, highlighting the power of Retrieval Augmented Generation in chat applications. The platform allows data engineering and software developers to focus on building their GenAI application without complexity, making it easy for users to try it with their own data.

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