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Seth Hobson
2026-01-19 17:07:03 -05:00
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plugins/llm-application-dev/skills/embedding-strategies/SKILL.md
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@@ -20,18 +20,18 @@ Guide to selecting and optimizing embedding models for vector search application
### 1. Embedding Model Comparison (2026)
| Model | Dimensions | Max Tokens | Best For |
|-------|------------|------------|----------|
| **voyage-3-large** | 1024 | 32000 | Claude apps (Anthropic recommended) |
| **voyage-3** | 1024 | 32000 | Claude apps, cost-effective |
| **voyage-code-3** | 1024 | 32000 | Code search |
| **voyage-finance-2** | 1024 | 32000 | Financial documents |
| **voyage-law-2** | 1024 | 32000 | Legal documents |
| **text-embedding-3-large** | 3072 | 8191 | OpenAI apps, high accuracy |
| **text-embedding-3-small** | 1536 | 8191 | OpenAI apps, cost-effective |
| **bge-large-en-v1.5** | 1024 | 512 | Open source, local deployment |
| **all-MiniLM-L6-v2** | 384 | 256 | Fast, lightweight |
| **multilingual-e5-large** | 1024 | 512 | Multi-language |
| Model | Dimensions | Max Tokens | Best For |
| -------------------------- | ---------- | ---------- | ----------------------------------- |
| **voyage-3-large** | 1024 | 32000 | Claude apps (Anthropic recommended) |
| **voyage-3** | 1024 | 32000 | Claude apps, cost-effective |
| **voyage-code-3** | 1024 | 32000 | Code search |
| **voyage-finance-2** | 1024 | 32000 | Financial documents |
| **voyage-law-2** | 1024 | 32000 | Legal documents |
| **text-embedding-3-large** | 3072 | 8191 | OpenAI apps, high accuracy |
| **text-embedding-3-small** | 1536 | 8191 | OpenAI apps, cost-effective |
| **bge-large-en-v1.5** | 1024 | 512 | Open source, local deployment |
| **all-MiniLM-L6-v2** | 384 | 256 | Fast, lightweight |
| **multilingual-e5-large** | 1024 | 512 | Multi-language |
### 2. Embedding Pipeline
@@ -583,6 +583,7 @@ def compare_embedding_models(
## Best Practices
### Do's
- **Match model to use case**: Code vs prose vs multilingual
- **Chunk thoughtfully**: Preserve semantic boundaries
- **Normalize embeddings**: For cosine similarity search
@@ -591,6 +592,7 @@ def compare_embedding_models(
- **Use Voyage AI for Claude apps**: Recommended by Anthropic
### Don'ts
- **Don't ignore token limits**: Truncation loses information
- **Don't mix embedding models**: Incompatible vector spaces
- **Don't skip preprocessing**: Garbage in, garbage out