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.
- Use LlamaParse in combination with ZeroEntropy to search and rerank PDFs Learn how to use ZeroEntropy and LlamaParse to parse, search, and rerank complex PDF documents.
(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-cookbookWe 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 [email protected] or visit our official documentation.
Happy coding with ZeroEntropy! 🚀