sqlite-graphrag 1.2.0

Persistent GraphRAG memory for Claude Code, Codex, Cursor, and 27 AI agents — one self-contained ~19 MiB Rust binary, zero daemon. Never re-explain your codebase again. Hybrid retrieval (FTS5 BM25 + cosine similarity + multi-hop graph traversal) surfaces the right memory in milliseconds. Embedding and entity enrichment run as parallel REST calls against your cloud LLM — no fragile headless subprocesses, no ONNX runtime, no model downloads. Soft-delete with full version history, transactional atomic writes, BLAKE3-tracked mutations. OAuth-only: raw API keys ABORT the spawn.
Documentation 
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//! Handler for `ingest --mode claude-code`.
//!
//! Orchestrates the locally installed Claude Code CLI binary (`claude -p`)
//! to extract domain-specific entities and relationships from each file,
//! then persists them via the same pipeline as `remember --graph-stdin`.
//!
//! Architecture: P1 One-Shot per file — each file spawns a separate
//! `claude -p` process with `--json-schema` for guaranteed structured output.
//! A SQLite queue DB tracks progress for resume/retry support.
// Workload: Subprocess I/O-bound (claude -p headless with network wait)

mod binary;
mod extract;
mod queue;
mod run;
mod types;

pub use binary::find_claude_binary;
pub use run::run_claude_ingest;
pub use types::{ExtractedEntity, ExtractedRelationship, ExtractionResult};

#[cfg(test)]
#[path = "../ingest_claude_tests.rs"]
mod tests;