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Fix local knowledge search notebook API drift against SDK v0.5.7 #3

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Fix local knowledge search notebook API drift against SDK v0.5.7 #3

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24 changes: 13 additions & 11 deletions 0_local_knowledge_search_walkthrough.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -40,7 +40,7 @@
"from pathlib import Path\n",
"\n",
"import numpy as np\n",
"from sochdb import Database, HnswIndex"
"from sochdb import Database, VectorIndex"
]
},
{
Expand Down Expand Up @@ -198,9 +198,9 @@
]
}
],
"source": [
"index = HnswIndex(dimension=DIMENSION, m=16, ef_construction=100, metric='cosine')\n",
"inserted = index.insert_batch_with_ids(ids, vectors)\n",
"source": [
"index = VectorIndex(dimension=DIMENSION, max_connections=16, ef_construction=100)\n",
"inserted = index.insert_batch(ids, vectors)\n",
"print(f'Indexed {inserted} document embeddings')"
]
},
Expand Down Expand Up @@ -247,13 +247,15 @@
"output_type": "execute_result"
}
],
"source": [
"query = 'How do I access internal tools securely from my laptop?'\n",
"query_vec = embed_text(query)\n",
"result_ids, distances = index.search(query_vec, k=3)\n",
"\n",
"results = []\n",
"for doc_id, distance in zip(result_ids.tolist(), distances.tolist()):\n",
"source": [
"query = 'How do I access internal tools securely from my laptop?'\n",
"query_vec = embed_text(query)\n",
"results = index.search(query_vec, k=3)\n",
"result_ids = [r[0] for r in results]\n",
"distances = [r[1] for r in results]\n",
"\n",
"results = []\n",
"for doc_id, distance in zip(result_ids, distances):\n",
" payload = db.get(f'docs/{doc_id}'.encode('utf-8'))\n",
" if payload is None:\n",
" continue\n",
Expand Down