Rodrigo Verdiani
d01ed613fb
Core AI module with chat sessions, message history, pgvector embeddings, semantic search via RAG, and Ollama integration for chat/embedding models. Includes: - Spring AI Ollama dependency (BOM 1.0.1) - Entity model: ChatSession, ChatMessage, EmbeddingChunk - Custom PostgreSQLVectorJdbcType for pgvector mapping - Services: ChatService, EmbeddingService, ChatContextBuilder - ChatController with SSE streaming endpoint - Flyway migration V008 (pgvector extension + tables) - AI configuration in application.yml
22 lines
645 B
Plaintext
22 lines
645 B
Plaintext
# ============================================================
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# Decompile-AI — Environment Variables
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# ============================================================
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# Copy this file to .env and fill in your values.
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# .env is git-ignored and never committed.
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# --- LLM Provider ---
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# Default chat provider (ollama)
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AI_DEFAULT_CHAT_PROVIDER=ollama
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# --- Model overrides (optional) ---
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# Ollama chat model (default: gemma4:12b)
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# AI_CHAT_MODEL_OLLAMA=gemma4:12b
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# Ollama embedding model (default: qwen3-embedding:latest)
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# AI_EMBEDDING_MODEL=qwen3-embedding:latest
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# Embedding vector dimension (default: 4096)
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# AI_EMBEDDING_DIMENSION=4096
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