AI Starter Kits are a collection of examples designed to bootstrap application development for common AI use cases. They provide open-source Python code hosted on SambaNova’s GitHub with concepts that can be applied to any programming language. Start with the demos below and be sure to view all of our AI Starter Kits at our Github repository.

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Multimodal retriever

Unlock insights from complex PDFs and images. Demonstrates advanced retrieval and answer generation that combines both visual and textual data.

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Financial assistant

Use large language models (LLMs) to generate complex responses. Demonstrates how to employ multiple agents in a chain to:

• Focus and decompose queries.

• Generate multi-step answers and summarize them.

• Check accuracy.

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Function calling

Enhance your AI applications with powerful function calling capabilities.

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Enterprise knowledge retrieval

Document Q&A on multiple file formats including PDF, TXT, and DOC. This starter kit demonstrates a sample implementation of a retrieval augmented generation (RAG) semantic search workflow.

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Search assistant

Expand your application’s knowledge with this implementation of the semantic search workflow and prompt construction strategies. Includes configurable integrations with multiple SERP APIs.