Q&A 52.1 — DocumentIndexer: Questions on Chunking, Embedding & Indexing

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DocumentIndexer — Q&A

Ask questions about the DocumentIndexer component — chunking strategies, embedding models, vector stores, and hybrid indexing.

Common Questions

• What chunk size works best for different document types?
• How to handle multi-modal documents (text + tables + images)?
• When to use HNSW vs IVF indexing?
• How to implement incremental index updates?
• What's the best deduplication strategy for near-duplicate documents?

Related

• Issue: Phase 52.1 — DocumentIndexer: Document Chunking, Embedding & Vector Store Management #1002
• Planning: Phase 52 Planning — Retrieval-Augmented Generation & Grounded AI #1001