feat: add comprehensive configuration guide and update README
- Create docs/configuration-guide.md with detailed guidance on: - Embedding model selection (small/medium/large) - Index selection (HNSW vs DiskANN) - LLM engine and model comparison - Parameter tuning (build/search complexity, top-k) - Performance optimization tips - Deep dive into LEANN's recomputation feature - Update README.md to link to the configuration guide - Include latest 2025 model recommendations (Qwen3, DeepSeek-R1, O3-mini)
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LEANN provides flexible parameters for embedding models, search strategies, and data processing to fit your specific needs.
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📚 **Having trouble with configuration?** Check our [Configuration Guide](docs/configuration-guide.md) for:
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- Quick start configurations for each use case
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- Solutions for "embedding too slow" issues
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- How to choose the right chat model
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- Fixing poor search quality
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- Performance optimization tips
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📚 **Having trouble with configuration?** Check our [Configuration Guide](docs/configuration-guide.md) for detailed optimization tips, model selection advice, and solutions to common issues like slow embeddings or poor search quality.
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<details>
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<summary><strong>📋 Click to expand: Common Parameters (Available in All Examples)</strong></summary>
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