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koan-vector-migration

sylin-org
Updated Yesterday
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About

This skill enables zero-cost migration between vector databases by exporting existing embeddings without regenerating them via AI. It provides embedding caching and supports export/import operations for providers like ElasticSearch and Weaviate. Use it when you need to switch vector database providers while preserving your existing embedding investments.

Quick Install

Claude Code

Recommended
Plugin CommandRecommended
/plugin add https://github.com/sylin-org/koan-framework
Git CloneAlternative
git clone https://github.com/sylin-org/koan-framework.git ~/.claude/skills/koan-vector-migration

Copy and paste this command in Claude Code to install this skill

Documentation

Koan Vector Migration

Core Principle

Export vectors without regenerating via AI. Cache embeddings to enable zero-cost vector database migration.

Vector Export (DATA-0078)

Export Vectors

var vectorRepo = serviceProvider.GetRequiredService<IVectorSearchRepository<Media, string>>();

await foreach (var batch in vectorRepo.ExportAllAsync(batchSize: 100, ct))
{
    // batch.Id: Entity identifier
    // batch.Embedding: float[] vector
    // batch.Metadata: Optional metadata

    // Cache the embedding
    var contentHash = EmbeddingCache.ComputeContentHash(embeddingText);
    await cache.SetAsync(contentHash, modelId, batch.Embedding, ct);
}

Provider Support

  • ElasticSearch: Scroll API (default batch: 1000)
  • Weaviate: GraphQL pagination (default batch: 100)
  • Qdrant: Planned
  • Milvus: Planned
  • Pinecone: Not supported (throws NotSupportedException)

Migration Pattern

1. Export vectors from Provider A → Cache
2. Switch configuration to Provider B
3. Import vectors from Cache → Provider B

Result: Zero AI API calls for migration

Example: Weaviate → ElasticSearch

// Step 1: Export from Weaviate
using (EntityContext.Adapter("weaviate"))
{
    var vectorRepo = sp.GetRequiredService<IVectorSearchRepository<Media, string>>();

    await foreach (var batch in vectorRepo.ExportAllAsync(batchSize: 100, ct))
    {
        await cache.SetAsync(batch.Id, "ada-002", batch.Embedding, ct);
    }
}

// Step 2: Switch to ElasticSearch in appsettings.json
{
  "Koan": {
    "Data": {
      "Sources": {
        "Vectors": {
          "Adapter": "elasticsearch",
          "ConnectionString": "http://localhost:9200"
        }
      }
    }
  }
}

// Step 3: Import to ElasticSearch
foreach (var mediaId in allMediaIds)
{
    var embedding = await cache.GetAsync(mediaId, "ada-002", ct);
    if (embedding != null)
    {
        var media = new Media { Id = mediaId, Embedding = embedding };
        await media.Save();
    }
}

When This Skill Applies

  • ✅ Migrating vector databases
  • ✅ Caching embeddings
  • ✅ AI provider switches
  • ✅ Cost optimization
  • ✅ Vector backup/restore

Reference Documentation

  • CLAUDE.md: Lines 96-123 (Vector Export for Migration)
  • ADR: DATA-0078 (Vector export specification)
  • Guide: docs/guides/ai-vector-howto.md

GitHub Repository

sylin-org/koan-framework
Path: .claude/skills/vector-migration

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