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Roadmap

See PLANNING.md for the full detailed roadmap and brainstorming document.

✅ Completed / Shipped

Chunking & Indexing

  • AST-based code chunking for 17 languages
  • Regex/document chunking for Markdown, Razor, .sln, LaTeX
  • Document text extraction for PDF, DOCX, DOC, Excel
  • Line-based fallback chunking
  • Pluggable chunkers via config
  • Incremental indexing (file-hash-based, manifest-backed)
  • File watching and background re-indexing
  • Enhanced chunk descriptions with relative paths and line numbers

Embedding & Storage

  • Embedding providers: Ollama, OpenAI, Cohere
  • Proxy-aware embedding transport with raw socket localhost bypass
  • Dimension probing at startup
  • LanceDB vector storage with memory:// test mode
  • Batch embedding
  • Auto-detection of LanceDB schema for seamless upgrades

Retrieval

  • Vector search pipeline
  • Hybrid search (TF×IDF keyword + vector fusion)
  • Session-level retrieval cache
  • Auto-context injection on chat.message
  • Configurable auto-inject settings

OpenCode Plugin

  • search_semantic tool
  • chat.message hook with file suggestions and auto-injection
  • RAG-backed read override tool
  • TUI settings panel with model picker dropdowns
  • OpenCode v1.17.0 compatible PluginModule export
  • Background auto-indexing with watcher status
  • API key auto-resolution from OpenCode provider config

CLI & Distribution

  • Full CLI: init, index, query, clear, status, list, show, dump
  • init command lifecycle with plugin generation, gitignore, npm install
  • Install scripts (.sh / .ps1) with uninstall support
  • Release automation script
  • Published npm package: opencode-rag-plugin

Configuration & Quality

  • JSON config with deep-merged partial overrides
  • Runtime overrides system for live TUI changes
  • Configurable file logging
  • Manifest schema versioning with corruption detection
  • 589+ automated tests

Short Term

Feature Description
LLM-based re-ranking Cross-encoder or lightweight model after vector search
Query rewriting Multi-variant expansion for ambiguous queries
Context window optimization Dedup, merge adjacent chunks, diversity ranking
Better file suggestions Improved ranking/diversity for chat.message file lists
Debug/retrieval surfaces Explain why files or chunks were returned

Mid Term

Feature Description
Cross-file relationship graph Import/call graph for dependency-aware search
Multi-repo search Index and search across multiple workspaces
IDE context awareness Use current file, cursor position for relevance boosting
Prompt customization Customize how retrieved context is formatted
Debugging tools Inspect embeddings, vector distances, result explanations
Persistent session memory Retain coding patterns and decisions across sessions

Long Term

Feature Description
Evaluation framework Benchmark queries, precision@K, recall measurements
Code execution-aware retrieval Run code to understand its behavior for better retrieval
Semantic refactoring assistant Code transformations based on natural language
Agent-based code navigation Autonomous exploration of codebase structure
Multimodal support Diagrams, API specs, JSON schemas, YAML configs
Access control Per-folder permissions, sensitive file exclusion
Web UI Browser-based index inspection and search result browsing

Key Next Steps

  1. LLM-based re-ranking for retrieval precision
  2. Code graph integration for structural code understanding
  3. Context window optimization for better prompt packing
  4. Query rewriting and retrieval explainability
  5. Persistent session memory across coding sessions
  6. Web UI for index inspection and search result browsing