faiss

Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.

[RAGFAISSSimilaritySearch

PoorRican

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tensorrt-llm

Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.

[InferenceServingTensorRT-LLMNVIDIA

PoorRican

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serving-llms-vllm

vLLM: high-throughput LLM serving, OpenAI API, quantization.

[vLLMInferenceServingPagedAttention

PoorRican

0