Learn how to build a Retrieval-Augmented Generation (RAG) AI agent using TypeScript and Langbase SDK. This comprehensive tutorial covers setting up your project, creating AI memory for storing and retrieving context, uploading documents, adding API keys, and generating responses using LLMs like OpenAI. By the end, you'll have a
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PrerequisitesWhat is Agentic RAG?Langbase SDKStep 1: Setup Your ProjectStep 2: Get Langbase API KeyStep 3: Add LLM API KeysStep 4: Create an Agentic AI MemoryStep 5: Add Documents to AI MemoryStep 6: Perform RAG RetrievalStep 7: Create Support Pipe AgentStep 8: Generate RAG Responses5 Comments
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