I was interested in how the duplicate detection of issues is working. It uses Cohere API for embeddings (full issue text) [1] and vector-based similarity search

I was interested in how the duplicate detection of issues is working. It uses Cohere API for embeddings (full issue text) [1] and vector-based similarity search [2]. [1] https://github.com/tegonhq/tegon/blob/158b54af8d6f7cf4195c615510976b6025baef13/server/src/modules/vector/vector.service.ts#L66-L85 https://github.com/tegonhq/tegon/blob/158b54af8d6f7cf4195c61... [2] https://github.com/tegonhq/tegon/blob/158b54af8d6f7cf4195c615510976b6025baef13/server/src/modules/vector/vector.service.ts#L125-L136 https://github.com/tegonhq/tegon/blob/158b54af8d6f7cf4195c61...