Shulou(Shulou.com)11/24 Report--

CTOnews.com October 26, Jina AI issued a press release on its website announcing the launch of the jina-embeddings-v2 model, which claims to be the only open source product that supports 8K (8192 token) context length, similar to OpenAI's text-embedding-ada-002 in functionality and performance.

In terms of large-scale text embedding benchmark (MTEB) rankings, CTOnews.com found that the official explanation was as follows:

Compared with OpenAI's 8K model text-embedding-ada-002, jina-embedding-v2 is superior to OpenAI's text-embedding-ada-002 in classification average, rearrangement average, retrieval average and abstract average.

▲ source Jina AI official website

The official website of ▲ source Jina AI said that the jina-embeddings-v2 model was built from scratch. In the past three months, the Jina AI team has carried out intensive research and development, data collection and adjustment.

Jina AI also claims that the context length of jina-embeddings-v2 8K is beneficial to the following application scenarios:

Legal document analysis: ensure that every detail in a large number of legal texts is captured and analyzed.

Medical research: comprehensive embedding of scientific papers for advanced analysis and discovery.

Literary analysis: in-depth study of long content to capture subtle thematic elements.

Financial forecasting: gain excellent insight through detailed financial reporting.

Conversational AI: improve the ability of chat robots to respond to complex user queries.

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