Suppa offers a no-code solution for building AI chatbots that can automate customer support and engage users effectively. Its features include a drag-and-drop interface, multi-source data integration, and customizable conversation flows. Businesses can deploy Suppa chatbots across various platforms to facilitate seamless communication between customers and their services, leading to improved customer satisfaction and trust.

AgenticIR (Agentic Information Retrieval) provides a modular framework where LLM-powered agents autonomously plan and execute IR workflows. It enables the definition of agent roles — such as query generator, document retriever, and summarizer — running in customizable sequences. Agents can fetch raw text, refine queries based on intermediate results, and merge extracted passages into concise summaries. The framework supports multi-step pipelines including iterative web search, API-based data ingestion, and local document parsing. Developers can adjust agent parameters, plug in different LLMs, and fine-tune behavior policies. AgenticIR also offers logging, error handling, and parallel agent execution to accelerate large-scale information gathering. With a minimal code setup, researchers and engineers can prototype and deploy autonomous retrieval systems.