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116 lines
3.5 KiB
Markdown
116 lines
3.5 KiB
Markdown
# CodexLens Code Indexing
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## One-Liner
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**CodexLens is a semantic code search engine** — Based on vector databases and LSP integration, it enables AI to understand code semantics rather than just keyword matching.
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---
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## Pain Points Solved
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| Pain Point | Current State | CodexLens Solution |
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|------------|---------------|-------------------|
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| **Imprecise search** | Keywords can't find semantically related code | Semantic vector search |
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| **No context** | Search results lack call chain context | LSP integration provides reference chains |
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| **No understanding** | AI doesn't understand code relationships | Static analysis + semantic indexing |
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| **Slow navigation** | Manual file traversal | Instant semantic navigation |
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---
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## vs Traditional Methods
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| Dimension | Text Search | IDE Search | **CodexLens** |
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|-----------|-------------|------------|---------------|
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| Search type | Keyword | Keyword + symbol | **Semantic vector** |
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| Context | None | File-level | **Call chain + imports** |
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| AI-ready | No | No | **Direct AI consumption** |
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| Multi-file | Poor | Good | **Excellent** |
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---
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## Core Concepts
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| Concept | Description | Location |
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|---------|-------------|----------|
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| **Index** | Vector representation of code | `.codex-lens/index/` |
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| **Chunk** | Code segment for embedding | Configurable size |
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| **Retrieval** | Hybrid search (vector + keyword) | HybridSearch engine |
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| **LSP** | Language Server Protocol integration | Built-in LSP client |
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---
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## Usage
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### Indexing Project
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```bash
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ccw index
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ccw index --watch # Continuous indexing
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```
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### Searching
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```bash
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ccw search "authentication logic"
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ccw search "where is user validation" --top 10
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```
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### Via MCP Tool
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```typescript
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// ACE semantic search
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mcp__ace-tool__search_context({
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project_root_path: "/path/to/project",
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query: "authentication logic"
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})
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```
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---
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## Configuration
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```json
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// ~/.codexlens/settings.json
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{
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"embedding": {
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"backend": "litellm",
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"model": "Qwen/Qwen3-Embedding-8B",
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"use_gpu": false
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},
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"indexing": {
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"static_graph_enabled": true,
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"chunk_size": 512
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}
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}
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```
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---
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## Architecture
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```
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┌─────────────────────────────────────────┐
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│ CodexLens │
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├─────────────────────────────────────────┤
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│ ┌──────────┐ ┌──────────┐ ┌────────┐ │
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│ │ Parsers │ │ Chunker │ │ LSP │ │
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│ │(TS/Py/..)│ │ │ │ Client │ │
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│ └────┬─────┘ └────┬─────┘ └───┬────┘ │
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│ │ │ │ │
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│ └─────────────┼────────────┘ │
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│ │ │
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│ ┌──────┴──────┐ │
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│ │ Hybrid │ │
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│ │ Search │ │
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│ └─────────────┘ │
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└─────────────────────────────────────────┘
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```
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---
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## Related Links
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- [CLI Call](/features/cli) - AI model invocation
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- [Memory System](/features/memory) - Persistent context
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- [MCP Tools](/mcp/tools) - MCP integration
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