ToolsAugust 27, 2026via Salesforce Blog
From Documents to Context: Designing Effective Chunking in Data 360
Why it matters
A practical deep-dive into document chunking and retrieval strategies within Salesforce Data 360. Practitioners building RAG systems need to understand how parsing, indexing, and retrieval design drive AI quality—not just model choice.
Key signals
- Chunking strategy (parsing, division, enrichment, indexing, retrieval) materially affects AI output quality
- Same input documents can yield different results based on preparation pipeline
- Salesforce Data 360 product context
- Published August 2026
- Document parsing and chunking strategy affects AI output quality independent of model choice
- Includes enrichment, indexing, and retrieval pipeline design
- Salesforce Data 360 feature/product focus
- Published as vendor technical guidance (blog post)
The hook
Same documents, different AI answers. The culprit isn't the model—it's how you chunk.
Two organizations can ingest the same documents and receive dramatically different AI responses. The difference may not be the model. It can be how the content was parsed, divided, enriched, indexed, and retrieved.…