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Feedback and questions about OpenAI documentation, guides, and reference materials.

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text-embedding-3-large vs text-embedding-3-small: when to use which?

I'm building a RAG system for a startup and trying to decide between textembedding3small and textembedding3large. The cost difference is 5x. My use c

4.2k

Hybrid search: combining embeddings with BM25 for better RAG

embeddings rag hybrid-search bm25

Pure vector search misses keywordheavy queries. I've implemented hybrid search vector + BM25 and the improvement is significant. Architecture 1. St

5.7k

Reducing embedding dimensions with matryoshka representation

embeddings dimensions optimization

The textembedding3large model supports reducing dimensions via the dimensions parameter. I tested how this affects retrieval quality. Benchmark resu

3.6k

19d

Embedding drift: model updates breaking vector search

embeddings vector-search drift

Has anyone dealt with embedding drift when OpenAI updates the embedding model? I have 2M vectors stored in Pinecone generated with textembedding3large

4.1k

19d

Building a multi-modal RAG system with vision and text

rag multi-modal vision

I've been building a RAG system that handles both text and images for a manufacturing client. Their documentation includes diagrams, flowcharts, and p

3.7k

Feb 22

Best practices for chunking strategy with text-embedding-3-large?

embeddings rag chunking

I've been extensively testing different chunking strategies with textembedding3large for RAG and wanted to share my findings. Strategies tested 1.

8.1k

May 27