raft: CUDA‑Accelerated ML & Vector Search Building Blocks
From the repo · “RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.”
RAFT provides building blocks for high performance machine learning applications, including fundamental algorithms and primitives, to help developers write efficient apps more easily
- •When building a high-performance machine learning application that requires GPU acceleration
- •When needing widely-used algorithms and primitives for machine learning and information retrieval
- •When developing applications that require CUDA-accelerated computations
To build and run the RAFT example application, use the command: `cd build && cmake .. && make && ./examples/raft_example`
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/raft && curl -fsSL https://workflowstacks.com/api/skills/raft/claude-skill -o ~/.claude/skills/raft/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Raft: CUDA‑Accelerated ML & Vector Search Building Blocks is a large Cuda project (~33k lines across 217 code files, plus 42 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2pyproject.tomlDependencies and the commands it exposes
- 3cpp/src/util/memory_pool.cppInside cpp/src/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/raft && curl -fsSL https://workflowstacks.com/api/skills/raft/claude-skill -o ~/.claude/skills/raft/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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