Packages
ragex
0.23.2
0.24.1
0.24.0
0.23.3
0.23.2
0.23.1
0.23.0
0.22.0
0.21.0
0.20.0
0.19.0
0.18.5
0.18.4
0.18.2
0.18.1
0.18.0
0.17.3
0.17.2
0.17.1
0.17.0
0.16.0
0.15.0
0.14.1
0.14.0
0.13.0
0.12.0
0.11.0
0.10.1
0.10.0
0.9.1
0.9.0
0.8.1
0.8.0
0.7.0
0.6.2
0.6.1
0.6.0
0.5.0
0.4.1
0.4.0
0.3.1
0.3.0
0.2.5
0.2.4
0.2.3
0.2.2
0.2.1
0.2.0
Hybrid Retrieval-Augmented Generation (RAG) system for multi-language codebase analysis. MCP server combining static analysis, knowledge graphs, semantic search with local ML, and advanced graph algorithms for AI-powered code understanding.
Current section
Files
Jump to
Current section
Files
CHANGELOG.md
# Changelog
All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [0.11.0]
### Changed
#### `mix ragex.chat` — agent-based RAG via Ragex MCP tools
User queries are now answered exclusively by the agent executor (ReAct loop)
instead of the previous two-path approach (pipeline first, agent fallback).
The AI actively calls Ragex MCP query tools (`hybrid_search`, `semantic_search`,
`read_file`, `query_graph`, `find_callers`, etc.) to retrieve relevant code
context before composing its answer. This means the AI drives the retrieval
rather than having pre-fetched context injected on its behalf.
Behavioural changes:
- The `--strategy` option is accepted for compatibility but no longer has any
effect; all queries go through the agent ReAct loop.
- Blocking `Core.chat/3` is always used (not streaming) to ensure tool-call
responses are captured correctly on providers that mix content and tool_call
deltas (e.g. DeepSeek R1).
- The conversation system prompt no longer caps tool calls at 2-3 per turn;
the AI may call as many tools as needed for a thorough answer.
- The old `render_stream` / `Pipeline.stream_query` path has been removed.
#### `mix ragex.audit` — AI report enriched with RAG evidence retrieval
The AI assistant generating the audit report can now call read-only Ragex MCP
query tools to retrieve concrete code-level evidence for its findings (e.g.
quote an actual function body, confirm a circular dependency path, or check
coupling metrics) rather than being limited to the pre-computed statistics
alone.
The tool set passed to the executor is restricted to `ToolSchema.rag_tool_names/0`
(10 read-only tools: `read_file`, `semantic_search`, `hybrid_search`,
`query_graph`, `list_nodes`, `find_callers`, `find_paths`,
`find_circular_dependencies`, `coupling_report`, `graph_stats`). Heavy
re-analysis tools are excluded so the pipeline is not re-triggered.
### Added
- `ToolSchema.rag_tool_names/0` — returns the list of 10 read-only RAG query
tool names.
- `ToolSchema.rag_query_tools/1` — returns those tools formatted for a given
AI provider (`:openai`, `:anthropic`, `:deepseek_r1`, `:ollama`).
### Planned
- Additional language support (Go, Rust, Java)
- Cross-language refactoring via Metastatic
- Production optimizations
- Enhanced semantic analysis for advanced refactoring operations
## [0.2.0] - 2026-01-27
### Added
- Comprehensive library packaging for Hex publication
- ExDoc documentation generation with logo and assets
- Module grouping and documentation extras
- Quality aliases for CI/CD integration
- Dialyzer configuration with ignore patterns
### Changed
- Updated project structure to library format
- Enhanced mix.exs with package metadata
- Improved dependency management
- Updated Metastatic dependency to `~> 0.5`
## [0.1.0] - 2026-01-24
### Added
#### Core Features
- MCP Server Protocol: JSON-RPC 2.0 over stdio and socket
- Multi-language code analysis (Elixir, Erlang, Python, JavaScript/TypeScript)
- Knowledge graph with ETS-based storage
- Local ML embeddings via Bumblebee (sentence-transformers/all-MiniLM-L6-v2)
- Semantic search and hybrid retrieval (RRF)
- Advanced graph algorithms (PageRank, centrality, community detection)
#### Code Editing Capabilities
- Safe file editing with atomic operations and backups
- Multi-language syntax validation
- Multi-file atomic transactions
- Semantic refactoring (rename function/module)
- Advanced refactoring operations (8 types: extract_function, inline_function, etc.)
- Format integration (mix, rebar3, black, prettier)
#### Analysis & Quality
- Code duplication detection (AST-based Type I-IV clones)
- Dead code detection (interprocedural + intraprocedural)
- Dependency analysis and coupling metrics
- Impact analysis with risk scoring
- Automated refactoring suggestions with RAG-powered advice
#### AI Features
- AI-enhanced validation error explanations
- Refactoring preview with risk assessment
- Dead code false positive reduction
- Semantic Type IV clone detection
- Architectural insights for coupling/dependencies
- Feature flags with graceful degradation
- Automatic caching (3-7 day TTLs)
#### Production Features
- Custom embedding models (4 pre-configured)
- Embedding persistence and caching
- Incremental updates with file tracking
- Path finding limits for dense graphs
- MCP streaming notifications
- Graph visualization (Graphviz DOT, D3.js JSON)
#### MCP Tools (15 total)
- Code analysis: analyze_file, analyze_directory, query_graph, list_nodes
- Semantic search: semantic_search, hybrid_search, get_embeddings_stats
- Graph algorithms: find_paths, graph_stats, betweenness_centrality, closeness_centrality, detect_communities, export_graph
- Code editing: edit_file, validate_edit, rollback_edit, edit_history, edit_files, refactor_code, advanced_refactor
- Analysis: find_duplicates, find_similar_code, find_dead_code, analyze_dead_code_patterns
- Quality: analyze_dependencies, find_circular_dependencies, coupling_report, analyze_quality, quality_report, find_complex_code
- Impact: analyze_impact, estimate_refactoring_effort, risk_assessment
- Suggestions: suggest_refactorings, explain_suggestion
- AI features: validate_with_ai, preview_refactor (AI-enhanced)
#### MCP Resources
- Graph statistics, cache status, model configuration
- Project index, algorithm catalog, analysis summary
#### MCP Prompts
- Analyze Architecture (shallow/deep)
- Find Impact, Explain Code Flow
### Documentation
- Comprehensive README with features overview
- ALGORITHMS.md: Graph algorithm reference
- ANALYSIS.md: Code analysis guide
- SUGGESTIONS.md: Refactoring suggestions guide
- CONFIGURATION.md: Configuration reference
- PERSISTENCE.md: Caching and persistence
- PROMPTS.md: MCP prompts guide
- RESOURCES.md: MCP resources reference
- STREAMING.md: Streaming notifications guide
- USAGE.md: Usage examples
[0.11.0]: https://github.com/Oeditus/ragex/releases/tag/v0.11.0
[0.2.0]: https://github.com/Oeditus/ragex/releases/tag/v0.2.0
[0.1.0]: https://github.com/Oeditus/ragex/releases/tag/v0.1.0