Welcome to Bigdata Cookbooks, a collection of practical, hands-on guides that show you how to turn data into insights and applications. Cookbooks are more than just code snippets. They’re ready-to-use recipes that show you how to combine our API endpoints, workflows, and best practices to accomplish specific tasks. Whether you’re building an AI assistant, analyzing financial markets, or powering a business intelligence dashboard, these step-by-step guides will help you get there faster.

What You’ll Find Inside

Getting Started Recipes

Learn the fundamentals with step-by-step examples on how to build Financial Research Assistants, Search Services, Thematic Screening Tools, and more.

Core Techniques

Go deeper with guides like Build Your First RAG, Similarity Search Demystified, Search with Re-Ranking, and Running Millions of Searches — designed to help you optimize performance and scalability.

Use Cases

Explore use cases for business and finance, including:

Who It’s For

Cookbooks are designed for developers, data scientists, and analysts who want working solutions, not just references. They serve as a bridge between the API Reference (the technical details) and real-world outcomes (ready-to-run applications). If the SDK Reference is your toolbox, think of Cookbooks as your blueprints, showing you how to build powerful applications on top of Bigdata.com.

Share Your Journey

Building with Bigdata? We’d love to collaborate with you on your ideas! All cookbook code is available in our public GitHub repository, where you can explore ready-to-use notebooks, share modifications, and contribute your innovative approaches. Whether you’re adapting existing recipes or creating entirely new ones, we’re excited to see your creative solutions and work together to advance financial analysis at scale.

Conversational AI

Search and Discovery

Market and Financial Analysis

Risk Management

Screening and Monitoring

Insights and Reporting