|
26 | 26 | "metadata": {}, |
27 | 27 | "outputs": [], |
28 | 28 | "source": [ |
29 | | - "%pip install \"redisvl>0.9.1\"" |
| 29 | + "%pip install \"redisvl>=0.10.0\"" |
30 | 30 | ] |
31 | 31 | }, |
32 | 32 | { |
33 | 33 | "cell_type": "code", |
34 | | - "execution_count": null, |
| 34 | + "execution_count": 28, |
35 | 35 | "metadata": {}, |
36 | | - "outputs": [], |
| 36 | + "outputs": [ |
| 37 | + { |
| 38 | + "name": "stderr", |
| 39 | + "output_type": "stream", |
| 40 | + "text": [ |
| 41 | + "huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n", |
| 42 | + "To disable this warning, you can either:\n", |
| 43 | + "\t- Avoid using `tokenizers` before the fork if possible\n", |
| 44 | + "\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n" |
| 45 | + ] |
| 46 | + }, |
| 47 | + { |
| 48 | + "name": "stdout", |
| 49 | + "output_type": "stream", |
| 50 | + "text": [ |
| 51 | + "Found existing installation: redisvl 0.9.1\n", |
| 52 | + "Uninstalling redisvl-0.9.1:\n", |
| 53 | + " Successfully uninstalled redisvl-0.9.1\n", |
| 54 | + "Note: you may need to restart the kernel to use updated packages.\n" |
| 55 | + ] |
| 56 | + } |
| 57 | + ], |
| 58 | + "source": [ |
| 59 | + "%pip uninstall -y redisvl" |
| 60 | + ] |
| 61 | + }, |
| 62 | + { |
| 63 | + "cell_type": "code", |
| 64 | + "execution_count": 1, |
| 65 | + "metadata": {}, |
| 66 | + "outputs": [ |
| 67 | + { |
| 68 | + "data": { |
| 69 | + "text/plain": [ |
| 70 | + "'0.10.0'" |
| 71 | + ] |
| 72 | + }, |
| 73 | + "execution_count": 1, |
| 74 | + "metadata": {}, |
| 75 | + "output_type": "execute_result" |
| 76 | + } |
| 77 | + ], |
37 | 78 | "source": [ |
38 | | - "import redisvl\n", |
39 | 79 | "# check version\n", |
| 80 | + "import redisvl\n", |
| 81 | + "\n", |
40 | 82 | "redisvl.__version__" |
41 | 83 | ] |
42 | 84 | }, |
|
130 | 172 | }, |
131 | 173 | { |
132 | 174 | "cell_type": "code", |
133 | | - "execution_count": 6, |
| 175 | + "execution_count": null, |
134 | 176 | "metadata": {}, |
135 | 177 | "outputs": [], |
136 | 178 | "source": [ |
|
142 | 184 | "REDIS_PASSWORD = os.getenv(\"REDIS_PASSWORD\", \"\") # ex: \"1TNxTEdYRDgIDKM2gDfasupCADXXXX\"\n", |
143 | 185 | "\n", |
144 | 186 | "# If SSL is enabled on the endpoint, use rediss:// as the URL prefix\n", |
145 | | - "# REDIS_URL = f\"redis://:{REDIS_PASSWORD}@{REDIS_HOST}:{REDIS_PORT}\"\n", |
146 | | - "REDIS_URL = \"redis://localhost:6380\" # running redis 8 here" |
| 187 | + "REDIS_URL = f\"redis://:{REDIS_PASSWORD}@{REDIS_HOST}:{REDIS_PORT}\"" |
147 | 188 | ] |
148 | 189 | }, |
149 | 190 | { |
|
155 | 196 | }, |
156 | 197 | { |
157 | 198 | "cell_type": "code", |
158 | | - "execution_count": 7, |
| 199 | + "execution_count": 3, |
159 | 200 | "metadata": {}, |
160 | 201 | "outputs": [ |
161 | 202 | { |
|
164 | 205 | "True" |
165 | 206 | ] |
166 | 207 | }, |
167 | | - "execution_count": 7, |
| 208 | + "execution_count": 3, |
168 | 209 | "metadata": {}, |
169 | 210 | "output_type": "execute_result" |
170 | 211 | } |
|
178 | 219 | }, |
179 | 220 | { |
180 | 221 | "cell_type": "code", |
181 | | - "execution_count": 8, |
| 222 | + "execution_count": 4, |
182 | 223 | "metadata": {}, |
183 | 224 | "outputs": [], |
184 | 225 | "source": [ |
|
205 | 246 | }, |
206 | 247 | { |
207 | 248 | "cell_type": "code", |
208 | | - "execution_count": 9, |
| 249 | + "execution_count": 5, |
209 | 250 | "metadata": {}, |
210 | 251 | "outputs": [ |
211 | 252 | { |
212 | 253 | "name": "stdout", |
213 | 254 | "output_type": "stream", |
214 | 255 | "text": [ |
215 | | - "13:55:47 datasets INFO PyTorch version 2.3.0 available.\n", |
216 | | - "13:55:48 sentence_transformers.SentenceTransformer INFO Use pytorch device_name: mps\n", |
217 | | - "13:55:48 sentence_transformers.SentenceTransformer INFO Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2\n", |
218 | | - "13:55:50 sentence_transformers.SentenceTransformer INFO Use pytorch device_name: mps\n", |
219 | | - "13:55:50 sentence_transformers.SentenceTransformer INFO Load pretrained SentenceTransformer: sentence-transformers/all-mpnet-base-v2\n", |
220 | | - "13:55:51 sentence_transformers.SentenceTransformer INFO Use pytorch device_name: mps\n", |
221 | | - "13:55:51 sentence_transformers.SentenceTransformer INFO Load pretrained SentenceTransformer: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2\n" |
| 256 | + "14:45:04 datasets INFO PyTorch version 2.3.0 available.\n", |
| 257 | + "14:45:05 sentence_transformers.SentenceTransformer INFO Use pytorch device_name: mps\n", |
| 258 | + "14:45:05 sentence_transformers.SentenceTransformer INFO Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2\n", |
| 259 | + "14:45:07 sentence_transformers.SentenceTransformer INFO Use pytorch device_name: mps\n", |
| 260 | + "14:45:07 sentence_transformers.SentenceTransformer INFO Load pretrained SentenceTransformer: sentence-transformers/all-mpnet-base-v2\n", |
| 261 | + "14:45:08 sentence_transformers.SentenceTransformer INFO Use pytorch device_name: mps\n", |
| 262 | + "14:45:08 sentence_transformers.SentenceTransformer INFO Load pretrained SentenceTransformer: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2\n" |
222 | 263 | ] |
223 | 264 | } |
224 | 265 | ], |
|
272 | 313 | }, |
273 | 314 | { |
274 | 315 | "cell_type": "code", |
275 | | - "execution_count": 10, |
| 316 | + "execution_count": 6, |
276 | 317 | "metadata": {}, |
277 | 318 | "outputs": [ |
278 | 319 | { |
|
303 | 344 | }, |
304 | 345 | { |
305 | 346 | "cell_type": "code", |
306 | | - "execution_count": 12, |
| 347 | + "execution_count": 7, |
307 | 348 | "metadata": {}, |
308 | 349 | "outputs": [ |
309 | 350 | { |
310 | 351 | "name": "stdout", |
311 | 352 | "output_type": "stream", |
312 | 353 | "text": [ |
313 | | - "13:56:14 redisvl.index.index INFO Index already exists, overwriting.\n", |
314 | 354 | "Multi-vector index created and populated successfully!\n" |
315 | 355 | ] |
316 | 356 | } |
|
392 | 432 | }, |
393 | 433 | { |
394 | 434 | "cell_type": "code", |
395 | | - "execution_count": 13, |
| 435 | + "execution_count": 8, |
396 | 436 | "metadata": {}, |
397 | 437 | "outputs": [ |
398 | 438 | { |
|
475 | 515 | }, |
476 | 516 | { |
477 | 517 | "cell_type": "code", |
478 | | - "execution_count": 14, |
| 518 | + "execution_count": 9, |
479 | 519 | "metadata": {}, |
480 | 520 | "outputs": [], |
481 | 521 | "source": [ |
|
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