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Merge pull request #2158 from qdrant/refinements

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Docs and Course Refinements
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kanungle
2026-02-26 00:08:37 -08:00
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qdrant-landing/content/course/essentials/day-1/chunking-strategies.md
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@@ -54,7 +54,7 @@ This is where chunking comes in. The goal is to have chunks
By breaking a document into focused chunks, each chunk gets its own vector that accurately represents a specific idea. This allows the search to be far more precise.
**Example:** Consider a multi-page Document like the [Qdrant Collection Configuration Guide of day 7](/course/essentials/day-7/collection-configuration-guide/) covering everything from HNSW to sharding and quantization.
**Example:** Consider a multi-page Document like the [Qdrant Collection Configuration Guide of Day 7](/course/essentials/day-7/collection-configuration-guide/) covering everything from HNSW to sharding and quantization.
If a user asks: *"What does the m parameter do?"*