SIE (Superlinked Inference Engine)
### TL;DR
SIE is an open-source, self-hosted inference server designed to run a wide variety of AI models for agentic workflows, including embedding, reranking, entity extraction, and text generation. It provides a unified API that replaces fragmented model-specific servers, allowing developers to serve over 100 models from a single cluster with on-demand loading.
Key Insights & Metrics
Key Features
- Unified OpenAI-compatible API for embeddings, chat, and completions
- Multi-model GPU sharing with on-demand loading and LRU eviction
- Support for 100+ models including rerankers, OCR, and entity extractors
- Production-ready stack with KEDA autoscaling and Terraform support
- Seamless integration with LangChain, LlamaIndex, and major vector databases
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