Summary
Create a focused documentation guide for vector compression and SVS-VAMANA tuning in RedisVL.
Level: Intermediate
Current State
- Compression concepts are present but spread across notebooks and API docs.
- There is no single practical guide for when/how to use compression options and how to evaluate tradeoffs.
Proposed Change
- Add a docs guide (for example
docs/user_guide/how_to_guides/vector_compression_tuning.md) that covers:
- when compression is appropriate
- choosing algorithm and key params
- expected memory/latency/recall tradeoffs
- safe rollout/testing checklist
- links to relevant API docs and notebooks
- Include a minimal reproducible benchmark workflow users can run locally.
Definition of Done
- New guide is linked from docs navigation and related pages.
- Includes actionable tuning recommendations and validation checklist.
make docs-build passes.
Out of Scope
- Changing compression implementation behavior in code.
Summary
Create a focused documentation guide for vector compression and SVS-VAMANA tuning in RedisVL.
Level: Intermediate
Current State
Proposed Change
docs/user_guide/how_to_guides/vector_compression_tuning.md) that covers:Definition of Done
make docs-buildpasses.Out of Scope