RAG pipelines · ai agents

Agents

Open-source tool for creating LLM agent applications from prompts

Open-source AI orchestration framework for production RAG pipelines and LLM agents.

Python framework for building multi-agent LLM applications with message-based collaboration.

Data framework for building LLM applications, RAG systems, and agentic workflows.

Open-source application for chatting with documents on a local device

Reference workflows for building and deploying customizable generative ai agents and multimodal applications.

AI agent platform and toolkit for building, deploying, and managing agent workflows.

Cloud platform for building, grounding, deploying, and governing production ai agents across enterprise data sources.

Open-source agent framework built on Qwen models with function calling, MCP, code interpreter, and RAG.

Open-source platform for agentic workflows, RAG pipelines, and LLM apps.

Open-source visual builder for multi-agent systems, chat assistants, and RAG.

IBM studio to build and run predictive, optimization, and generative AI across hybrid infra.

Open-source visual workflow automation for ai agents and app integrations.

Enterprise no-code AI agent factory for governed workflows, RAG, and IT deployment.

Show all 81Show fewer