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.

UltiHash is a high-performance, S3-compatible object storage platform designed specifically for AI workloads such as generative AI, model training, retrieval-augmented generation, and data lakehouse environments. It helps teams manage large-scale, unstructured and structured data with optimized throughput, binary-level deduplication, and Kubernetes-native deployment options to improve GPU/TPU efficiency and reduce storage costs.