Results 3 comments of Bharath Balan

+1 for conda support

@dhnanjay , As a workaround, I hardcoded the vector dimensions size to 6144 in superagi/vector_store/redis.py Change the line where it says `vector_dimensions = self.embedding_model.get_embedding("sample")` to `vector_dimensions = 6144`