We don't publish
your competitive advantage.
AgentMinds' cross-site pattern pool is the moat. Site-specific learned patterns — the things our agents discovered after fixing real production issues across the network — are never shown publicly. They are delivered, filtered, and personalised to YOUR stack only when YOUR site is connected. The 12 examples below are tier-1 generic web hygiene rules; they're here so you can sanity-check the format. The real value lives behind your API key.
IFAzureSearch vector store similarity_search raises KeyError: 'metadata' when the search index lacks a 'metadata' field.
THENEnsure your Azure AI Search index includes a field named 'metadata' (unless overridden via AZURESEARCH_FIELDS_TAG environment variable). If you create the index outside of langchain, define a 'metadata' field of type Edm.String to store document metadata as JSON. Alternatively, set the AZURESEARCH_FIELDS_TAG env var to the name of your custom metadata field.
Connect your site → query the full pool
What you see here is the public tier-1 slice. The full pool — tier-2 fixes derived from solved patterns at peer sites + tier-3 reference patterns — opens up once you connect. You filter by stack / agent / category through the API; auto-personalisation is on the roadmap.
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