WFGY/ProblemMap/GlobalFixMap/RAG_VectorDB/vectorstore_fragmentation.md

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Vectorstore Fragmentation — Guardrails and Fix Pattern

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Use this page when retrieval recall drops because the vector index is fragmented.
This happens when multiple shards, partitions, or replicas return partial results and the top-k merge is unstable.


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Core acceptance

  • Top-k results consistent across shards with variance ≤ 0.05.
  • Coverage ≥ 0.70 on the target section.
  • ΔS(question, retrieved) ≤ 0.45 across three paraphrases.
  • λ remains convergent under shard fanout.

Typical breakpoints and the right fix

  • Shards not balanced → Some partitions miss updates, recall drops.
    → Re-index with balanced sharding and verify ingestion logs.

  • Merge strategy unstable → Top-k from each shard merged without normalization.
    → Apply global reranker after merging, not local-only.

  • Version skew between replicas → Old embeddings live in one shard.
    → Enforce deployment-deadlock.md checks and hash validation.

  • Distributed query latency → Timeout before all shards return.
    → Add backpressure and enforce full quorum before top-k selection.


Fix in 60 seconds

  1. Run shard probe
    Fire the same query against each shard individually. Compare ΔS variance.

  2. Align replicas
    Verify INDEX_HASH matches across partitions. If not, rebuild.

  3. Global reranker
    Always normalize scores before merging. Rerank final list with semantic signal.

  4. Quorum guard
    Require ≥80% shard response before producing result. If missing, retry.


Copy-paste probe script (pseudo)

def shard_probe(query, shards):
    results = {}
    for shard in shards:
        hits = shard.search(query, k=10)
        ΔS_vals = [compute_deltaS(query, h) for h in hits]
        results[shard.id] = (np.mean(ΔS_vals), np.var(ΔS_vals))
    return results

Target: shard-to-shard ΔS variance ≤ 0.05.


Common gotchas

  • Shard IDs not logged → Cannot trace back retrieval → enforce retrieval-traceability.md.
  • Hybrid retriever mixing BM25 + dense done locally per shard → breaks weighting.
  • Replicas updated asynchronously → ingestion race.

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