I'm unhappy with Weaviate updates and deletes

Got it. If Weaviate updates and deletes are causing pain, I can help you figure out whether it’s a usage issue, a schema/modeling issue, or a product limitation.

A few common trouble spots with Weaviate:

• Updates are not truly “partial” in the way people expect
  Depending on how you’re updating, you may be overwriting fields or triggering re-vectorization unexpectedly.

• Deletes can look inconsistent in search results
  Sometimes this is due to replication, filtering, eventual consistency, or stale caches/indexing behavior.

• Object IDs vs. business keys
  If you’re updating/deleting by a non-stable field instead of the UUID, things can get messy fast.

• Vector + metadata lifecycle
  If your data model mixes mutable metadata with vectorized text, small updates can cause expensive reindexing or surprising retrieval changes.

• Batch operations
  In bulk update/delete flows, failures can be partial and harder to reason about.

If you want, I can help in one of these ways:

1. Diagnose your specific issue
   Paste the update/delete code and the unexpected behavior.

2. Suggest a safer data model
   For example, how to structure objects so updates and deletes are predictable.

3. Recommend alternatives
   If you’re deciding whether to keep Weaviate or move to another vector DB/search stack.

4. Debug a symptom
   Like “delete succeeds but object still shows up in queries” or “update changes my search results unpredictably.”

If you share:

• your Weaviate version,
• whether you use the Python/TS/GraphQL API,
• a sample object schema,
• and what exactly goes wrong,

I can be much more specific.