swiftide: Accelerate LLM Indexing & Retrieval in Rust
From the repo · “Fast, streaming indexing, query, and agentic LLM applications in Rust”
Swiftide enables fast streaming indexing and query for building AI applications in Rust, particularly for agentic LLM applications
- •When you need to index and query large datasets in real-time for your Rust-based AI application
- •When building agentic LLM applications that require efficient data processing and querying
- •When you want to leverage the performance benefits of Rust for your AI application's data indexing and querying needs
cargo run --example swiftide_example -- --query 'SELECT * FROM my_index'
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/swiftide && curl -fsSL https://workflowstacks.com/api/skills/swiftide/claude-skill -o ~/.claude/skills/swiftide/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Swiftide: Accelerate LLM Indexing & Retrieval in Rust is a large Rust project (~48k lines across 265 code files, plus 35 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, MIT license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3Cargo.tomlDependencies and the commands it exposes
- 4swiftide/README.mdInside swiftide/ — the main logic begins here
- 5examples/Cargo.tomlA worked example — copy this to get going
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/swiftide && curl -fsSL https://workflowstacks.com/api/skills/swiftide/claude-skill -o ~/.claude/skills/swiftide/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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