TxtAI MCP Server

""" Llama module tests """ import os import unittest import numpy as np from txtai.vectors import VectorsFactory class TestLlamaCpp(unittest.TestCase): """ llama.cpp vectors tests """ @classmethod def setUpClass(cls): """ Create LlamaCpp instance. """ cls.model = VectorsFactory.create({"path": "nomic-ai/nomic-embed-text-v1.5-GGUF/nomic-embed-text-v1.5.Q2_K.gguf"}, None) def testIndex(self): """ Test indexing with LlamaCpp vectors """ ids, dimension, batches, stream = self.model.index([(0, "test", None)]) self.assertEqual(len(ids), 1) self.assertEqual(dimension, 768) self.assertEqual(batches, 1) self.assertIsNotNone(os.path.exists(stream)) # Test shape of serialized embeddings with open(stream, "rb") as queue: self.assertEqual(np.load(queue).shape, (1, 768))