feat(ai): pgvector embedding infrastructure (#19)
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This commit was merged in pull request #19.
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@@ -6,6 +6,7 @@ using Microsoft.EntityFrameworkCore.Infrastructure;
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using Microsoft.EntityFrameworkCore.Storage.ValueConversion;
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using Npgsql.EntityFrameworkCore.PostgreSQL.Metadata;
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using NpgsqlTypes;
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using Pgvector;
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#nullable disable
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@@ -22,6 +23,7 @@ namespace InboxIntel.Infrastructure.Migrations
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.HasAnnotation("Relational:MaxIdentifierLength", 63);
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NpgsqlModelBuilderExtensions.HasPostgresExtension(modelBuilder, "pg_trgm");
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NpgsqlModelBuilderExtensions.HasPostgresExtension(modelBuilder, "vector");
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NpgsqlModelBuilderExtensions.UseIdentityByDefaultColumns(modelBuilder);
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modelBuilder.Entity("InboxIntel.Domain.Entities.AnalyticsAggregate", b =>
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@@ -125,6 +127,9 @@ namespace InboxIntel.Infrastructure.Migrations
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b.Property<DateTimeOffset>("CreatedAtUtc")
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.HasColumnType("timestamp with time zone");
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b.Property<Vector>("Embedding")
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.HasColumnType("vector(768)");
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b.Property<string>("GmailMessageId")
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.IsRequired()
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.HasMaxLength(64)
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@@ -194,6 +199,11 @@ namespace InboxIntel.Infrastructure.Migrations
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b.HasKey("Id");
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b.HasIndex("Embedding");
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NpgsqlIndexBuilderExtensions.HasMethod(b.HasIndex("Embedding"), "hnsw");
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NpgsqlIndexBuilderExtensions.HasOperators(b.HasIndex("Embedding"), new[] { "vector_cosine_ops" });
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b.HasIndex("SearchVector");
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NpgsqlIndexBuilderExtensions.HasMethod(b.HasIndex("SearchVector"), "GIN");
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