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Team Timescale for Timescale

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OpenAI vs. Open-source: Embedding Model Showdown

๐Ÿ” Looking for alternatives to OpenAI's embedding models?

In this hands-on technical deep dive, Jacky Liang, developer advocate at Timescale shows you how to evaluate open-source embedding models that can match or even outperform proprietary solutions.

In this video developers will learn:

  • How to benchmark embedding models using real-world text and questions
  • A practical evaluation workflow you can replicate in your projects
  • Performance insights across different query types (from simple lookups to complex contextual searches)
  • Using pgai Vectorizer to automate embedding management in PostgreSQL
  • Actual benchmarks comparing popular models like BGE-M3, mxbai-embed-large, and nomic-embed-text

Whether you're building a production RAG application or just exploring embeddings, this video will give you the data and tools to make informed decisions about your embedding infrastructure.

๐Ÿ›  ๐—ฅ๐—ฒ๐—น๐—ฒ๐˜ƒ๐—ฎ๐—ป๐˜ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€
๐Ÿ“Œ pgai Vectorizer Quick Start โ‡’ https://tsdb.co/pgaivectorizer-quick-...
๐Ÿ“Œ Evaluating Open-Source vs. OpenAI Embeddings for RAG โ‡’ https://tsdb.co/evaluate-oss-vs-opena...

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