{"record":{"id":"2ac57e4b5aea3c58","repo":"rohitg00/ai-engineering-from-scratch","slug":"unknown-metric-metric","errorCode":null,"errorMessage":"Unknown metric: {metric}","messagePattern":"Unknown metric: (.+?)","errorType":"validation","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"phases/11-llm-engineering/04-embeddings/code/embeddings.py","lineNumber":121,"sourceCode":"\n    def add(self, vector, text, meta=None):\n        self.vectors.append(vector)\n        self.texts.append(text)\n        self.metadata.append(meta or {})\n\n    def search(self, query_vector, top_k=5, metric=\"cosine\"):\n        scores = []\n        for i, vec in enumerate(self.vectors):\n            if metric == \"cosine\":\n                score = cosine_similarity(query_vector, vec)\n            elif metric == \"dot\":\n                score = dot_product(query_vector, vec)\n            elif metric == \"euclidean\":\n                score = -euclidean_distance(query_vector, vec)\n            elif metric == \"hamming\":\n                score = -hamming_distance(binarize(query_vector), binarize(vec))\n            else:\n                raise ValueError(f\"Unknown metric: {metric}\")\n            scores.append((i, score))\n        scores.sort(key=lambda x: x[1], reverse=True)\n        results = []\n        for idx, score in scores[:top_k]:\n            results.append({\n                \"text\": self.texts[idx],\n                \"score\": score,\n                \"metadata\": self.metadata[idx],\n                \"index\": idx\n            })\n        return results\n\n    def size(self):\n        return len(self.vectors)\n\n\nclass SemanticSearchEngine:\n    def __init__(self, chunk_size=200, overlap=50):","sourceCodeStart":103,"sourceCodeEnd":139,"githubUrl":"https://github.com/rohitg00/ai-engineering-from-scratch/blob/39ea8a1c6d0b61f071226eff7ede4d4105fed820/phases/11-llm-engineering/04-embeddings/code/embeddings.py#L103-L139","documentation":"Error \"Unknown metric: {metric}\" thrown in rohitg00/ai-engineering-from-scratch.","triggerScenarios":"Thrown at phases/11-llm-engineering/04-embeddings/code/embeddings.py:121 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":"39ea8a1c6d0b61f071226eff7ede4d4105fed820","analyzedAt":"2026-08-26T03:13:46.626Z","schemaVersion":2},"datasetVersion":"2026-08-26T07:17:17.940Z"}