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Infercom AI Starter Kits
Open-source starter applications for common AI use cases. RAG, multimodal retrieval, and more — ready to run with the Infercom API.
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 Infercom’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.
Multimodal retriever
Section titled “Multimodal retriever”Unlock insights from complex PDFs and images. Demonstrates advanced retrieval and answer generation that combines both visual and textual data.
Financial assistant
Section titled “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.
Function calling
Section titled “Function calling”Enhance your AI applications with powerful function calling capabilities.
Enterprise knowledge retrieval
Section titled “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.
Search assistant
Section titled “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.