PulpGen provides a unified, configurable platform to build advanced LLM-based applications. It offers seamless integrations with popular vector stores, embedding services, and LLM providers. Developers can define custom pipelines for retrieval-augmented generation, enable real-time streaming outputs, batch process large document collections, and monitor system performance. Its extensible architecture allows plug-and-play modules for cache management, logging, and auto-scaling, making it ideal for AI-powered search, question-answering, summarization, and knowledge management solutions.

ChatStreamAiAgent provides developers with a lightweight Python toolkit to implement AI chat agents that stream token outputs as they are generated. It supports multiple LLM providers, asynchronous event hooks, and easy integration into web or console applications. With built-in context management and prompt templating, teams can rapidly prototype conversational assistants, customer support bots, or interactive tutorials while delivering low-latency, real-time responses.