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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.
IFWhen using llama-index v0.10 with a vector store that returns BaseNode instances (e.g., custom or third-party vector store), the query engine fails with 'Can't instantiate abstract class BaseNode with abstract methods'.
THENEnsure that the vector store's query method returns concrete node types like TextNode or Document, which implement all abstract methods of BaseNode. If using a custom vector store, subclass BaseNode appropriately and implement get_content, get_metadata_str, get_type, hash, set_content methods, or directly return TextNode as returned by the underlying vector database.
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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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