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329 Gotchas 874d1083

ASecurity

Insert/upsert/delete return immediately but vectors aren't queryable for 5-10 seconds.

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  • Added October 11, 2026
ai-agentstypescriptgobashapi

Works with

  • api

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A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned October 11, 2026

npx -y skills add tools-only/X-Skills --skill 329-gotchas_874d1083 --agent claude-code

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SKILL.md
# Vectorize Gotchas

## Critical Warnings

### Async Mutations

Insert/upsert/delete return immediately but vectors aren't queryable for 5-10 seconds.

### Batch Size Limit

**Workers API: 500 vectors max per call** (undocumented, silently truncates)

```typescript
// ✅ Chunk into 500
for (let i = 0; i < vectors.length; i += 500) {
  await env.VECTORIZE.upsert(vectors.slice(i, i + 500))
}
```

### Metadata Truncation

`returnMetadata: "indexed"` returns only first 64 bytes of strings. Use `"all"` for complete metadata (but max topK drops to 20).

### topK Limits

| returnMetadata         | returnValues | Max topK |
| ---------------------- | ------------ | -------- |
| `"none"` / `"indexed"` | `false`      | 100      |
| `"all"`                | any          | **20**   |
| any                    | `true`       | **20**   |

### Metadata Indexes First

Create BEFORE inserting - existing vectors not retroactively indexed.

```bash
# ✅ Create index FIRST
wrangler vectorize create-metadata-index my-index --property-name=category --type=string
wrangler vectorize insert my-index --file=data.ndjson
```

### Index Config Immutable

Cannot change dimensions/metric after creation. Must create new index and migrate.

## Limits (V2)

| Resource                | Limit                        |
| ----------------------- | ---------------------------- |
| Vectors per index       | 10,000,000                   |
| Max dimensions          | 1536                         |
| Batch upsert (Workers)  | **500**                      |
| Indexed string metadata | **64 bytes**                 |
| Metadata indexes        | 10                           |
| Namespaces              | 50,000 (paid) / 1,000 (free) |

## Common Mistakes

1. **Wrong embedding shape:** Extract `result.data[0]` from Workers AI
2. **Metadata index after data:** Re-upsert all vectors
3. **Insert vs upsert:** `insert` ignores duplicates, `upsert` overwrites
4. **Not batching:** Individual inserts ~1K/min, batched ~200K+/min

## Troubleshooting

**No results?**

- Wait 5-10s after insert
- Check namespace spelling (case-sensitive)
- Verify metadata index exists
- Check dimension mismatch

**Metadata filter not working?**

- Index must exist before data insert
- Strings >64 bytes truncated
- Use dot notation for nested: `"product.category"`

## Model Dimensions

- `@cf/baai/bge-small-en-v1.5`: 384
- `@cf/baai/bge-base-en-v1.5`: 768
- `@cf/baai/bge-large-en-v1.5`: 1024

Files in this skill

  • README.md1014 B
  • skill.md2.4 KB

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