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030102 Lancedb Index

skill-natuleadan-skills-030102-lancedb-index · by natuleadan

LanceDB vector index types (IVF, HNSW, PQ, RQ), quantization techniques, reindexing strategies, and performance tuning.

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Install

$ agentstack add skill-natuleadan-skills-030102-lancedb-index

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Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Vector Indexing & Optimization

Overview

Index types, quantization, and reindexing strategies for LanceDB vector search performance.

Quick Reference

Index Types

| Index | Best For | Quantization | |-------|----------|-------------| | IVFPQ | General purpose | Product Quantization | | IVFHNSWSQ | High recall | Scalar Quantization | | IVFHNSWPQ | Large datasets | Product Quantization | | IVFFLAT | Small datasets, 100% recall | None | | IVF_RQ | Binary vectors | RaBitQ (1 bit/dim) |

Quantization

| Type | Bits/Dim | Compression | Recall Impact | |------|----------|-------------|---------------| | None | 32 | 1x | None | | SQ | 8 | 4x | Minimal | | PQ | 4-8 | 4-8x | Moderate | | RQ (RaBitQ) | 1 | 32x | Low-moderate |

Reindexing

table.optimize()  # Compaction + cleanup + index update

References

  • [Vector Index Types](references/vector-index.md) — IVF, HNSW, PQ, RQ index selection and tuning
  • [Indexing Concepts](references/indexing.md) — Internal mechanics, disk-based indexing
  • [Quantization](references/quantization.md) — Compression techniques, accuracy tradeoffs
  • [Reindexing](references/reindex.md) — Incremental updates, compaction, optimization

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.