SambaNova AI Starter Kits are open-source examples designed to bootstrap application development for common AI use cases. They provide Python code with concepts that can be applied to any programming language.Start with the demos below or view all kits at the GitHub repository.
To run these examples, obtain your SambaNova API key from the API keys and URLs page.
Compare model performance by evaluating outputs, Time to First Token, End-to-End Latency, Throughput, and more with configuration options in a chat interface.
Expand your application’s knowledge with semantic search and prompt construction strategies. Includes configurable integrations with multiple SERP APIs.
Use large language models to generate complex responses. Demonstrates how to employ multiple agents in a chain to focus and decompose queries, generate multi-step answers, and check accuracy.
A multi-agent AI system that provides deep research, automated artifact production, and advanced data science capabilities. Leverages a team of specialized agents to execute complex tasks.
A voice agent using LiveKit for real-time audio. Runs an STT/LLM pipeline with low-latency inference and Model Context Protocol (MCP) capabilities for advanced function calling.