What this covers:
- Overview of Nexla’s Data + AI Integration platform.
- Connecting to file systems to get unstructured data such as PDFs;
- Using embedding services to vectorize data;
- Pushing vectors and metadata into a vector database;
- Creating a synchronous retrieval augmented generation flow that leverages the vector DB semantic search to send contextual requests to an LLM and gets a response back.
- Real-world example based on actual customer initiatives
- Q&A session from the live presentation
Watch and see how Nexla can transform your data integration and AI workflows, ensuring seamless, scalable, and efficient operations.
