📄️ Accessing Data in Jupyter Notebook
Tutorial Goal
📄️ Deploy an MCP Server from Nexsets
In this tutorial, you'll use the MCP Tools & Servers API to turn your Nexla Nexsets into AI tools, deploy them as an MCP server, and connect an AI agent. With a single API call, Nexla creates tool definitions from your Nexsets, bundles them into a ToolSet, and exposes them through a standards-compliant MCP server that any compatible client can consume.
📄️ Embedding Nexla in Your Product
Accelerate data integration based offerings for your end users by embedding Nexla into your own product and putting the power of Nexla in the hands of your users. Your product experience—with only the essential controls that your end-users need—all powered by Nexla.
📄️ Migrating Flows from Dev To Production
Tutorial Goal
📄️ Querying Data Using GenAI
Expedite data analysis by directly querying your data with the RAG-based Nexla GenAI chatbot, leveraging the power of GenAI and LLMs to gain insights based on both the data itself and its contextual relationships.
📄️ Sending Text Data to Vector Databases
Enable efficient data processing with GenAI-based applications by using Nexla to create data flows that automatically write data to vector databases.