Welcome to the ZeroEntropy Cookbook, a collection of practical guides to help you effectively use the ZeroEntropy API for AI-powered retrieval. This cookbook provides step-by-step tutorials to simplify your workflow. As of now, the guides in this cookbook are written in Python, but the same concepts can be applied to any programming language.
- Indexing and Searching PDFs
Learn how to efficiently index and query PDF documents using ZeroEntropy. - Semantic Search Over Markdown Learn how to use ZeroEntropy to index and semantically search Markdown-based documentation using natural language queries.
- Python Scripts to Index and Query with ZE Learn how to use ZeroEntropy to index and query over your own collection of PDFs, CSVs, TXT files, etc.
- Using ZeroEntropy's Reranker Learn how to use ZeroEntropy's models to rerank the result of an initial vector search or hybrid search.
- Deep Research with ZeroEntropy's MCP Learn how to use ZeroEntropy's MCP server to build a deep research agent across an organization's documents.
- Voice Agent with ZeroEntropy's MCP Learn how to use ZeroEntropy's MCP server to build a Voice AI Agent with access to a knowledge base.
- Use ZeroEntropy as the Search Tool of an Agent Learn how to use ZeroEntropy as an Agent's search tool to access a knowledge base when responding to user queries.
(More guides coming soon...)
To start using the cookbook, get your API key, then clone the repository:
git clone https://github.com/zeroentropy-ai/zcookbook.git
cd zeroentropy-cookbook
We welcome contributions! If you have a useful guide to share, feel free to submit a pull request. Please follow the existing format to maintain consistency.
If you have any questions or need assistance, please reach out to founders@zeroentropy.dev or visit our official documentation.
Happy coding with ZeroEntropy! 🚀