No Chunks, No Embeddings : OpenAI’s Index-Free RAG. Watch this video on YouTube. Discover other guides from our vast content that could be of interest on Index-Free Retrieval System.

OpenAI defines text embeddings as vectors that measure the relatedness between ... SentenceTransformers a Python framework for state-of-the-art ... Text Embedding Ada 2 is priced at $0.0004 per ...

Multimodal AI company Jina AI recently released jina-embeddings-v2, a sentence embedding model. The model supports context lengths up to 8192 tokens and outperforms OpenAI's text-embedding-ada-002 on ...

OpenAI’s model designed to generate embeddings is ada-2. As of this writing ada-2 costs $0.0001 for 1K tokens , or about 1.3 cents for 126,000. That’s within budget!

RAG is a pragmatic and effective approach to using large language models in the enterprise. Learn how it works, why we need it, and how to implement it with OpenAI and LangChain.

OpenAI at one point dominated the embeddings space with its ada embeddings model, but some enterprises have come to realize over time that it’s not specific enough for their particular use cases.

OpenAI said that its new embedding models, text-embedding-3-small and text-embedding-3-large, offer stronger performance and reduced price compared to its previous generation model, text-embedding ...