tori/Cargo.toml
Fam Zheng d9d3bc340c Add global knowledge base with RAG search
- KB module: fastembed (AllMiniLML6V2) for CPU embedding, SQLite for
  vector storage with brute-force cosine similarity search
- Chunking by ## headings, embeddings stored as BLOB in kb_chunks table
- API: GET/PUT /api/kb for full-text read/write with auto re-indexing
- Agent tools: kb_search (top-5 semantic search) and kb_read (full text)
  available in both planning and execution phases
- Frontend: Settings menu in sidebar footer, KB editor as independent
  view with markdown textarea and save button
- Also: extract shared db_err/ApiResult to api/mod.rs, add context
  management design doc

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-01 08:15:50 +00:00

30 lines
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TOML

[package]
name = "tori"
version = "0.1.0"
edition = "2021"
[lints.rust]
warnings = "deny"
[lints.clippy]
all = "deny"
[dependencies]
axum = { version = "0.8", features = ["ws"] }
tokio = { version = "1", features = ["full"] }
serde = { version = "1", features = ["derive"] }
serde_json = "1"
serde_yaml = "0.9"
sqlx = { version = "0.8", features = ["runtime-tokio", "sqlite"] }
tower-http = { version = "0.6", features = ["cors", "fs"] }
reqwest = { version = "0.12", default-features = false, features = ["json", "stream", "rustls-tls"] }
futures = "0.3"
tracing = "0.1"
tracing-subscriber = { version = "0.3", features = ["env-filter"] }
chrono = { version = "0.4", features = ["serde"] }
uuid = { version = "1", features = ["v4"] }
anyhow = "1"
mime_guess = "2"
nix = { version = "0.29", features = ["signal"] }
fastembed = "5"