{"record":{"id":"20fa876486e101cb","repo":"langchain-ai/langgraph","slug":"embeddingslambda-was-initialized-with-an-async-fun","errorCode":null,"errorMessage":"EmbeddingsLambda was initialized with an async function but no sync function. Use aembed_documents for async operation or provide a sync function.","messagePattern":"EmbeddingsLambda was initialized with an async function but no sync function\\. Use aembed_documents for async operation or provide a sync function\\.","errorType":"validation","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"libs/checkpoint/langgraph/checkpoint/store/base/embed.py","lineNumber":176,"sourceCode":null,"sourceCodeStart":null,"sourceCodeEnd":null,"githubUrl":"https://github.com/langchain-ai/langgraph/blob/38031739e551638e373fb553453256c23feeb41f/libs/checkpoint/langgraph/checkpoint/store/base/embed.py#L176","documentation":"Error \"EmbeddingsLambda was initialized with an async function but no sync function. Use aembed_documents for async operation or provide a sync function.\" thrown in langchain-ai/langgraph.","triggerScenarios":"Thrown at libs/checkpoint/langgraph/checkpoint/store/base/embed.py:176 when the library encounters an invalid state.","commonSituations":"See trigger scenarios.","solutions":[],"exampleFix":null,"handlingStrategy":null,"validationCode":null,"typeGuard":null,"tryCatchPattern":null,"preventionTips":[],"tags":[],"backgroundTag":null,"analyzedSha":"38031739e551638e373fb553453256c23feeb41f","analyzedAt":"2026-08-26T18:02:49.312Z","schemaVersion":2},"datasetVersion":"2026-08-26T21:11:00.512Z"}