AI features on the Critter Stack with Marten.PgVector New in 1.10.0

Build AI/RAG features on the Critter Stack with Marten.PgVector — UsePgVector() setup, IEmbeddingProvider, VectorSearchAsync over a document property, the event-sourced VectorProjection with content-hash skipping, VectorProjectionSearchAsync, and retrieval inside a Wolverine handler. Covers the Guid-identity constraint, the delete-by-StreamId trap, index choice, and where the model call is your own code.

Use when adding semantic search, recommendations, or retrieval-augmented generation to a Marten application.

Skill details

• Skill name: critterstack-ai-features-with-marten-pgvector
• Applies to: marten, wolverine
• Tags: marten, wolverine, pgvector, ai, rag, embeddings, vector-search, semantic-search, projections
• Added in: 1.10.0
• License: Proprietary. Copyright JasperFx Software LLC.

This skill is part of a paid product. The full content of critterstack-ai-features-with-marten-pgvector (patterns, code examples, conventions, and guidance) is distributed only to licensed customers.

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