Which OpenAI Embedding Model Is Best for Your RAG App With Pgvector?
Blog post from Tiger Data
OpenAI's text-embedding-3 model family offers improved performance and cost savings, but many teams struggle to upgrade due to the complexity of re-embedding data. Pgai Vectorizer is an open-source tool that automates embedding creation in PostgreSQL using SQL commands, allowing for easy testing and deployment of new OpenAI embedding models. It enables side-by-side comparisons of model performance, automatic synchronization of embeddings as source data changes, and gradual rollouts of new models without disrupting production systems. Pgai Vectorizer is available in Early Access for both cloud-hosted and self-hosted deployment options.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 84 | 4,605 | 291 | 90 | +25% |
| RAG | 11 | 2,177 | 276 | 82 | +12% |
| Kubernetes | 2 | 1,385 | 177 | 70 | +11% |
| AI Agents | 1 | 431 | 116 | 54 | -25% |
| AI Coding Assistant | 1 | 507 | 100 | 51 | -25% |
| Data Pipeline | 1 | 720 | 225 | 62 | -49% |
| MCP | 1 | 74 | 32 | 4 | +61% |
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