Track 5: RAG: Retrieval-Augmented Generation
Advanced RAG: Vector Databases, Hybrid Search, GraphRAG & Agentic RAG
45 lessons
Track 5: RAG: Retrieval-Augmented Generation, Embeddings
Choosing an Embedding Model: Paid vs Open, Multilingual, ColBERT
Pick a model by quality, language and cost.
Part of Get an AI Engineering Job (51 of 83)
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Course
Advanced RAG: Vector Databases, Hybrid Search, GraphRAG & Agentic RAG
Udemy: coming soon
Tools
- OpenAI embeddings (paid)
- Cohere Embed + Rerank (freemium)
- Voyage AI embeddings (freemium)
- BGE embeddings / rerankers (open-source, free)
- nomic-embed (open-source, free)
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Then try
In this module
- Embeddings Explained With Code, Free and Local
- Choosing an Embedding Model: Paid vs Open, Multilingual, ColBERT
- Fine-Tune an Embedding Model on Your Domain
The course this lesson belongs to