Voyage AI
Embedding provider with code-specialized models
Episodes
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#6265: Why Upgrading Embedding Models Demands ReindexingCohere's Embed Five Fast queries against a Pro index reach 98.4 percent of performance without regenerating stored document vectors. -
#4106: Embedding Models vs LLMs: What Actually Connects?Can you mix any embedding model with any LLM? And why are new embedding models still dropping if they're "solved"? -
#2466: The Hidden Trap of Embedding Model Lock-InWhat happens when your vector database works great — until your embedding model gets deprecated and your vectors become useless.