👩🏻‍💻 fix(wip): notebooks

Prismadic · Dec 23, 2023 · 829718e · 829718e
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diff --git a/...s/distributed_embedding/1_callbacks.ipynb → ...tributed_embedding/1_callback_field.ipynb b/...s/distributed_embedding/1_callbacks.ipynb → ...tributed_embedding/1_callback_field.ipynb
diff --git a/examples/distributed_embedding/1_callback_index.ipynb b/examples/distributed_embedding/1_callback_index.ipynb
@@ -0,0 +1,91 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[92m🌊 SUCCESS: connected successfully to 192.168.2.69\u001b[0m\n"
+     ]
+    }
+   ],
+   "source": [
+    "from magnet.ize import memory\n",
+    "config = {\n",
+    "    \"MILVUS_URI\": \"192.168.2.69\"\n",
+    "    , \"DIMENSION\": 1024\n",
+    "    , \"MODEL\": \"BAAI/bge-large-en-v1.5\"\n",
+    "    , \"INDEX\": \"bge_nlp_deduped\"\n",
+    "    , \"INDEX_PARAMS\": {\n",
+    "        'metric_type': 'COSINE',\n",
+    "        'index_type':'HNSW',\n",
+    "        'params': {\n",
+    "            \"efConstruction\": 40\n",
+    "            , \"M\": 48\n",
+    "        },\n",
+    "    }\n",
+    "}\n",
+    "\n",
+    "index = memory.Embedder(config)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[96m☕️ WAIT: connecting to my-user:[email protected]\u001b[0m\n",
+      "\u001b[92m🌊 SUCCESS: connected to my-user:[email protected]\u001b[0m\n",
+      "\u001b[94mℹ️ INFO: consuming delta from [nlp_chunks_deduped] on\n",
+      "🛰️ stream: documents\n",
+      "🧲 session: \"bge_nlp_deduped_embedder\"\u001b[0m\n"
+     ]
+    }
+   ],
+   "source": [
+    "from magnet.ic import field\n",
+    "reso = field.Resonator(\"my-user:[email protected]\")\n",
+    "async def handle_payload(payload, msg):\n",
+    "    await index.embed_and_store(payload)\n",
+    "    await msg.ack()\n",
+    "await reso.on(cb=handle_payload, category=\"nlp_chunks_deduped\", session=\"bge_nlp_deduped_embedder\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}