M.I.M.I.R - Multi-agent Intelligent Memory & Insight Repository

# Embeddings **Generate and manage vector embeddings.** ## 📚 Documentation - **[Local GGUF Models](local-gguf.md)** - Run models locally - **[Ollama Integration](ollama-integration.md)** - Use Ollama for embeddings - **[OpenAI Integration](openai-integration.md)** - Use OpenAI API ## 🎯 What are Embeddings? Embeddings are vector representations of text that capture semantic meaning, enabling: - Semantic search - Similarity comparison - K-Means clustering - Classification ## 🚀 Quick Start ### With Ollama ```bash # Start Ollama ollama pull mxbai-embed-large # Configure NornicDB export NORNICDB_EMBEDDING_PROVIDER=ollama export NORNICDB_EMBEDDING_MODEL=mxbai-embed-large ``` ### With OpenAI ```bash # Configure NornicDB export NORNICDB_EMBEDDING_PROVIDER=openai export NORNICDB_OPENAI_API_KEY=your-api-key export NORNICDB_EMBEDDING_MODEL=text-embedding-3-small ``` ## 📖 Learn More - **[Local GGUF](local-gguf.md)** - Run models offline - **[Ollama Setup](ollama-integration.md)** - Easy local embeddings - **[OpenAI API](openai-integration.md)** - Cloud embeddings --- **Get started** → **[Ollama Integration](ollama-integration.md)**