The best open-source embedding models
Blog post from Baseten
The article provides a curated list of the best open-source embedding models for various applications such as agents, RAG pipelines, search, and recommendations. The top recommended models include BAAI bge-en-icl, Mixedbread Embed Large V1, Nomic Embed Code, BAAI bge-reranker-v2-m3, and Tulu 3 8B Reward. These models offer a balance of accuracy, embedding speed, and cost, making them suitable for different use cases. The article also addresses common questions such as what can be built with embedding models, how to optimize open-source models for latency and throughput, and the importance of choosing an embedding model that performs well on your specific data.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 38 | 2,418 | 411 | 146 | +10% |
| RAG | 4 | 1,904 | 258 | 96 | +13% |
| LLM | 3 | 5,030 | 782 | 224 | -11% |
| AI Agents | 1 | 2,792 | 485 | 163 | +5% |
| AI Model Fine-tuning | 1 | 861 | 198 | 87 | -4% |
| Reinforcement learning | 1 | 219 | 98 | 27 | -8% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.