Fixed-Size vs Semantic Chunking
Naive fixed-size chunking (e.g., 500 characters) frequently splits sentences or paragraphs in half, destroying meaning. Semantic chunking (using tools like LangChain's RecursiveCharacterTextSplitter) respects sentence boundaries and paragraph breaks.
Overlap is Critical
Always implement chunk overlap (e.g., 20%). This ensures that concepts spanning a chunk boundary are captured in at least one embedding, preventing retrieval misses.
Internal Resources
- Inference Cost Calculator
- Latency Estimator
- Tabular vs Deep Learning
- Local LLMs vs Managed APIs
- Time Series Baselines
- Tabular Model Selector
- Vision Architecture Selector
- VRAM Calculator
- Choosing Embeddings
- CNN vs ViT in 2024
- RLHF vs DPO
- RAG Chunking Strategies
- RAG Chunk Size Calculator
- Token Ratio Estimator
- Synthetic Data Generation
- Quantization Methods Explained
- Quantization Memory Savings
- Fine-Tuning vs LoRA
- LoRA Rank Calculator
- Multimodal Model Landscape