:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
There are existing agentic use-cases where it's important to have users accept or reject different actions before they are taken. For example, a travel bot that asks user confirmation before booking flights. These agents might be used in a multi-agent architecture.
There are existing agentic use-cases where it's important to have users accept or reject different actions before they are taken. For example, a travel bot that asks user confirmation before booking flights. These agents might be used in a multi-agent architecture.