Multi-LLM routing, vector store, and agent framework

CHANGELOG.md

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 # CHANGELOG
 
+## v0.3.0 (2025-12-21)
+
+### Major Features
+* **Modular RAG Architecture**: Complete overhaul for configurable RAG pipelines
+  * `Rag.Retriever` behaviour with Semantic, FullText, Hybrid, and Graph implementations
+  * `Rag.VectorStore.Store` behaviour for pluggable vector backends
+  * `Rag.GraphStore` behaviour for knowledge graph storage (pgvector and Neo4j ready)
+  * `Rag.Reranker` behaviour with LLM-based reranking
+* **GraphRAG Support**: Knowledge graph-enhanced retrieval
+  * Entity and relationship extraction via LLM
+  * Community detection with summarization
+  * Local, global, and hybrid graph search modes
+  * PostgreSQL-based graph storage with recursive CTEs
+* **Advanced Chunking Strategies**: Flexible text splitting
+  * Character-based chunking with smart boundaries
+  * Sentence-based chunking
+  * Semantic chunking with embedding similarity
+  * Recursive chunking for hierarchical documents
+* **Pipeline System**: Composable RAG pipelines
+  * `Rag.Pipeline` struct for pipeline definitions
+  * `Rag.Pipeline.Executor` for step orchestration
+  * Parallel step execution with caching
+  * Error handling and retry logic
+* **Reranking**: Improve retrieval quality
+  * LLM-based reranking with configurable prompts
+  * Cross-encoder style relevance scoring
+  * Cohere reranker integration ready
+* **Multi-LLM Provider Support**: Add `Rag.Ai.Gemini`, `Rag.Ai.Claude`, and `Rag.Ai.Codex` providers for Gemini, Claude, and OpenAI-compatible APIs
+* **Smart Router**: New `Rag.Router` module with pluggable routing strategies:
+  * `Rag.Router.Fallback` - Try providers in order until one succeeds
+  * `Rag.Router.RoundRobin` - Distribute load across providers
+  * `Rag.Router.Specialist` - Route based on task type
+* **Vector Store**: New `Rag.VectorStore` module with pgvector integration:
+  * Semantic search with embeddings
+  * Full-text search with PostgreSQL tsvector
+  * Hybrid search with RRF (Reciprocal Rank Fusion) scoring
+  * Text chunking with overlap support
+  * `Rag.VectorStore.Chunk` Ecto schema for document storage
+* **Embedding Service**: New `Rag.Embedding.Service` GenServer for managed embedding operations with auto-batching
+* **Agent Framework**: New `Rag.Agent` module for building tool-using agents:
+  * `Rag.Agent.Session` for conversation memory management
+  * `Rag.Agent.Registry` for tool registration
+  * `Rag.Agent.Tool` behaviour for custom tools
+* **Built-in Agent Tools**:
+  * `Rag.Agent.Tools.SearchRepos` - Semantic search over indexed repositories
+  * `Rag.Agent.Tools.ReadFile` - Read file contents with optional line ranges
+  * `Rag.Agent.Tools.GetRepoContext` - Get repository structure and metadata
+  * `Rag.Agent.Tools.AnalyzeCode` - Parse and analyze code structure
+* **Provider Capabilities**: New `Rag.Ai.Capabilities` module to check provider feature support
+
+### Enhancements
+* New live examples for all major features
+* Comprehensive test coverage with supertester principles
+* Updated documentation with modular RAG guides
+
+### Breaking Changes
+* Removed igniter-based Mix tasks: `rag.install`, `rag.gen_rag_module`, `rag.gen_servings`, `rag.gen_eval`
+* Library no longer includes its own Ecto Repo - consuming applications must provide their own
+
+### Dependencies
+* Added `pgvector`, `ecto_sql`, `postgrex` for vector store functionality
+* Temporarily disabled `torus` and `igniter` due to Elixir 1.18 compatibility issues with `inflex`
+
 ## v0.2.3
 * Add `Rag.Ai.Ollama` as ollama provider
 * Add `build_context/3`, `build_context_sources/3`, `build_prompt/3` to enable full pipeline interface