Letta is a comprehensive AI agent orchestration platform designed to empower organizations to automate complex workflows through intelligent digital workers. By combining customizable agent templates with a powerful visual workflow builder, Letta enables teams to define step-by-step processes, integrate a variety of APIs and data sources, and deploy autonomous agents that handle tasks such as document processing, data analysis, customer engagement, and system monitoring. Built on a microservices architecture, it offers built-in support for popular AI models, versioning, and governance tools. Real-time dashboards provide insights into agent activity, performance metrics, and error handling, ensuring transparency and reliability. With role-based access controls and secure deployment options, Letta scales from pilot projects to enterprise-wide digital workforce management.

rag-services is an extensible platform that breaks down RAG pipelines into discrete microservices. It offers a document store service, a vector index service, an embedder service, multiple LLM inference services, and an orchestrator service to coordinate workflows. Each component exposes REST APIs, allowing you to mix and match databases and model providers. With Docker and Docker Compose support, you can deploy locally or in Kubernetes clusters. The framework enables scalable, fault-tolerant RAG solutions for chatbots, knowledge bases, and automated document Q&A.