ianmacartney
commented
1 month ago You might want to clear the embeddingsCache table - this command will do
it:
npx convex import --table embeddingsCache --replace --format jsonLines /dev/null -y
Or drop console logs along the code path to figure out where the larger
embedding is coming from
On Mon, Sep 30, 2024 at 3:03 AM UAnn Yao @.***> wrote:
I have tried the meta-llama/Llama-3-8b-chat-hf chatmodel and togethercomputer/m2-bert-80M-8k-retrieval embedding model with embeddingDimension: 768, but I'm having the following error many times when agents are having conversations:
9/30/2024, 5:59:09 PM [CONVEX A(aiTown/agentOperations:agentGenerateMessage)] Uncaught Error: Expected a vector with dimensions 768, received 1024. at async searchMemories (../../convex/agent/memory.ts:164:12) at async startConversationMessage (../../convex/agent/conversation.ts:34:4) at async handler (../../convex/aiTown/agentOperations.ts:74:6)
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I have tried the meta-llama/Llama-3-8b-chat-hf chatmodel and togethercomputer/m2-bert-80M-8k-retrieval embedding model with embeddingDimension: 768, but I'm having the following error many times when agents are having conversations:
9/30/2024, 5:59:09 PM [CONVEX A(aiTown/agentOperations:agentGenerateMessage)] Uncaught Error: Expected a vector with dimensions 768, received 1024. at async searchMemories (../../convex/agent/memory.ts:164:12) at async startConversationMessage (../../convex/agent/conversation.ts:34:4) at async handler (../../convex/aiTown/agentOperations.ts:74:6)