Blockchain AI Agent integrates large language models with multi-chain support to deliver fast, accurate blockchain data retrieval through natural language. Users ask questions like 'What was the gas used in the last Ethereum block?' or 'Show me recent transactions for a Solana address,' and the agent automatically invokes underlying RPC calls to Bitcoin, Ethereum, and Solana nodes. Built on Python and using web3.py, solana-py, and Bitcoin libraries, it seamlessly handles block data, transaction parsing, account balances, and price information. The modular architecture allows developers to extend the agent with custom functions or add support for additional chains. This tool empowers blockchain developers, analysts, educators, and enthusiasts to access complex on-chain data without writing low-level code.

Joule is SAP's intelligent AI agent designed to transform how businesses leverage data for decision-making. It integrates seamlessly with existing systems to provide real-time insights into operations, allowing users to make informed choices that enhance productivity and efficiency. With natural language processing capabilities, Joule can understand user queries and deliver tailored information quickly, ensuring that critical business knowledge is readily accessible. Its ability to learn from user interactions also means Joule continually improves, evolving with the needs of the business.

The RAG-based Intelligent Conversational AI Agent combines a vector store-backed retrieval layer with Google’s Gemini LLM via LangChain to power context-rich, conversational knowledge extraction. Users ingest and index documents—PDFs, web pages, or databases—into a vector database. When a query is posed, the agent retrieves top relevant passages, feeds them into a prompt template, and generates concise, accurate answers. Modular components allow customization of data sources, vector stores, prompt engineering, and LLM backends. This open-source framework simplifies the development of domain-specific Q&A bots, knowledge explorers, and research assistants, delivering scalable, real-time insights from large document collections.