sia-code 0.2.1

Local-first codebase intelligence with semantic search, multi-hop research, and 12-language AST support

Sia Code

v0.2 - Local-first codebase search with semantic understanding and multi-hop code discovery.

Features

• Semantic Search - Natural language queries with OpenAI embeddings (auto-fallback to lexical)
• Multi-Hop Research - Automatically discover code relationships and call graphs
• 12 Languages - Python, JS/TS, Go, Rust, Java, C/C++, C#, Ruby, PHP (full AST support)
• Interactive Mode - Live search with result navigation and export
• Watch Mode - Auto-reindex on file changes
• Portable - Single .mv2 file storage, no database required

Installation

# From PyPI (recommended)
pip install sia-code

# Or with uv
uv tool install sia-code

# Or from source
uv tool install git+https://github.com/DxTa/sia-code.git

# Verify installation
sia-code --version

Quick Start

# Initialize and index
sia-code init
sia-code index .

# Search
sia-code search "authentication logic"           # Semantic search
sia-code search --regex "def.*login"             # Regex search

# Multi-hop research (discover relationships)
sia-code research "how does the API handle errors?"

# Check index health
sia-code status

Commands

Command	Description
sia-code init	Initialize index in current directory
sia-code index .	Index codebase (first time)
sia-code index --update	Re-index only changed files (10x faster)
sia-code index --clean	Full rebuild from scratch
sia-code index --watch	Auto-reindex on file changes
sia-code search "query"	Semantic or regex search
sia-code research "question"	Multi-hop code discovery with --graph
sia-code interactive	Live search mode with result navigation
sia-code status	Index health and staleness metrics
sia-code compact	Remove stale chunks when index grows
sia-code config show	View configuration

Configuration

Semantic search requires OpenAI API key (optional):

export OPENAI_API_KEY=sk-your-key-here
sia-code init
sia-code index .

Without API key: Searches automatically fallback to lexical/regex mode. No crashes.

Edit config at .sia-code/config.json to:

• Change embedding model (openai-small, openai-large, bge-small)
• Exclude patterns (node_modules/, __pycache__/, etc.)
• Adjust chunk sizes

View config: sia-code config show

Output Formats

sia-code search "query" --format json            # JSON output
sia-code search "query" --format table           # Rich table
sia-code search "query" --format csv             # CSV for Excel
sia-code search "query" --output results.json    # Save to file

Supported Languages

Full AST Support (12): Python, JavaScript, TypeScript, JSX, TSX, Go, Rust, Java, C, C++, C#, Ruby, PHP

Recognized: Kotlin, Groovy, Swift, Bash, Vue, Svelte, and more (indexed as text)

Troubleshooting

Issue	Solution
No API key warning	Normal - searches fallback to lexical mode
Index growing large	Run sia-code compact to remove stale chunks
Slow indexing	Use sia-code index --update for incremental
Stale search results	Run sia-code index --clean to rebuild

How It Works

1. Parse - Tree-sitter generates AST for each file
2. Chunk - cAST algorithm creates semantic chunks (functions, classes)
3. Embed - Optional OpenAI embeddings for semantic search
4. Store - Single portable .mv2 file with Memvid
5. Search - Hybrid BM25 + vector similarity

Links

• ROADMAP.md - Future development plans
• KNOWN_LIMITATIONS.md - Current limitations and workarounds

License

MIT