VelociRAG + NexaAPI: Build the Fastest AI Agent RAG Pipeline (No PyTorch!)

VelociRAG + NexaAPI: Build the Fastest AI Agent RAG Pipeline (No PyTorch!) I just found a new RAG library on PyPI that's doing something different: VelociRAG runs on ONNX runtime instead of PyTorch. No 2GB PyTorch install, no CUDA setup — just fast, lean retrieval. Paired with NexaAPI ($0.003/image, 56+ models), you get the fastest, cheapest AI agent stack available today. What is VelociRAG? VelociRAG is a Python package for Retrieval-Augmented Generation (RAG) that uses ONNX runtime instead of PyTorch. Key features: ONNX-powered : ~200MB footprint vs 2-4GB for PyTorch 4-layer fusion : High-quality retrieval MCP server : Native integration with AI agent frameworks ~5ms retrieval : vs ~20ms with PyTorch Install : pip install velocirag (no PyTorch!) What is NexaAPI? NexaAPI is the cheapest AI inference API: $0.003/image — 13x cheaper than DALL-E 3 56+ models : Flux Schnell, Flux Dev, SDXL, Stable Diffusion 3, DALL-E, and more Text, Image, TTS, Video : Full multimodal stack Free tier : 10