What is Semantic Chunking?
Semantic chunking uses embeddings to find natural topic boundaries, creating more meaningful document segments.
Key Features
- Embedding-based – Content-aware
- Topic Boundaries – Natural splits
- Variable Size – Flexible lengths
- Quality Focus – Coherent chunks
Use Cases
- Advanced RAG
- Document QA
- Research synthesis