Askible is a powerful tool designed to enhance community engagement by providing automated answers to user questions. It allows server administrators to create, delete, edit, and manage Q&A pairs seamlessly. With multiple subscription plans tailored to different server sizes and activities, Askible ensures that communities can find the plan that best suits their needs. Simplifying the user support experience, it saves your community members time by providing quick, accurate answers without the need for a lengthy search.

OpenKBS transforms corporate content—PDFs, docs, web pages—into vector embeddings stored in a knowledge graph. Users interact with an AI chatbot that retrieves precise answers by scanning the semantic index. The platform offers robust API endpoints, customizable UI widgets, and role-based access control. It accelerates internal support, documentation search, and developer onboarding through automated, context-aware responses and continuous learning from new data.

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.