\u5728\u7528 FalkorDB\uff08\u4e00\u4e2a\u517c\u5bb9 Redis \u534f\u8bae\u7684\u56fe\u6570\u636e\u5e93\uff09\u505a GraphRAG \u6216\u8bed\u4e49\u68c0\u7d22\u65f6\uff0c\u6211\u4eec\u7ecf\u5e38\u60f3\u7528\u5b83\u81ea\u5e26\u7684\u539f\u751f\u5411\u91cf\u68c0\u7d22\u80fd\u529b\uff0c\u4e5f\u5c31\u662f\u8fd9\u4e2a API\uff1a<\/p>\n
CALL db.idx.vector.queryNodes('Entity', 'embedding', 10, vecf32($query_vec))\n<\/code><\/pre>\n\u7406\u60f3\u5f88\u7f8e\u597d\uff1a\u4e00\u6761 Cypher \u5c31\u80fd\u62ff\u5230\u300c\u548c\u67e5\u8be2\u5411\u91cf\u6700\u76f8\u4f3c\u7684 10 \u4e2a\u8282\u70b9\u300d\uff0c\u5e95\u5c42\u8d70\u7684\u662f\u9ad8\u6548\u7684\u8fd1\u4f3c\u6700\u8fd1\u90bb\uff08ANN\uff09\u68c0\u7d22\u3002<\/p>\n
\u4f46\u5f88\u591a\u4eba\u7b2c\u4e00\u6b21\u7528\u7684\u65f6\u5019\u4f1a\u53d1\u73b0\uff1a\u8981\u4e48\u76f4\u63a5\u62a5\u9519\uff0c\u8981\u4e48\u8fd4\u56de\u7a7a\u7ed3\u679c\uff0c\u8981\u4e48\u9000\u5316\u6210\u6162\u5f97\u79bb\u8c31\u7684\u5168\u8868\u626b\u63cf\u3002\u660e\u660e\u6570\u636e\u90fd\u5199\u8fdb\u53bb\u4e86\uff0c\u4e3a\u4ec0\u4e48\u5c31\u662f\u4e0d\u5de5\u4f5c\uff1f<\/p>\n
\u8fd9\u7bc7\u6587\u7ae0\u6211\u4eec\u5c31\u6765\u628a db.idx.vector.queryNodes<\/code> \u80fd\u6b63\u5e38\u5de5\u4f5c\u7684\u4e24\u4e2a\u5fc5\u8981\u6761\u4ef6<\/strong>\u8bb2\u6e05\u695a\uff0c\u518d\u62c6\u89e3\u51e0\u4e2a\u6700\u5bb9\u6613\u8e29\u7684\u5751\u3002<\/p>\n\u4e00\u3001\u5148\u770b\u7ed3\u8bba\uff1a\u4e24\u4e2a\u5fc5\u8981\u6761\u4ef6\u7f3a\u4e00\u4e0d\u53ef<\/h1>\n
\u8981\u8ba9\u539f\u751f\u5411\u91cf\u68c0\u7d22\u771f\u6b63\u751f\u6548\uff0c\u5fc5\u987b\u540c\u65f6\u6ee1\u8db3\u4e24\u70b9\uff1a<\/p>\n
\n- embedding \u6570\u636e\u662f\u4ee5\u539f\u751f vector \u7c7b\u578b<\/strong>\u5b58\u50a8\u7684\uff08\u7528
vecf32()<\/code> \u8fd9\u7c7b\u51fd\u6570\u8f6c\u6362\u8fc7\u7684\u5411\u91cf\uff09\u3002<\/li>\n- \u5728\u5bf9\u5e94\u5c5e\u6027\u4e0a\u521b\u5efa\u4e86\u5411\u91cf\u7d22\u5f15\uff08vector index\uff09<\/strong>\u3002<\/li>\n<\/ol>\n
\u8fd9\u4e24\u70b9\u662f\u300c\u4e0e\u300d\u7684\u5173\u7cfb\uff0c\u4e0d\u662f\u300c\u6216\u300d\u3002\u5c11\u4e86\u4efb\u4f55\u4e00\u4e2a\uff0cdb.idx.vector.queryNodes<\/code> \u90fd\u4e0d\u4f1a\u6309\u6211\u4eec\u671f\u671b\u7684\u65b9\u5f0f\u5de5\u4f5c\u3002<\/p>\n\u6211\u4eec\u53ef\u4ee5\u6253\u4e2a\u6bd4\u65b9\uff1a<\/p>\n
\n- \u6761\u4ef6\u4e00\uff08vector \u7c7b\u578b\uff09\u597d\u6bd4\u300c\u4e66\u91cc\u7684\u5185\u5bb9\u786e\u5b9e\u662f\u6309\u62fc\u97f3\u987a\u5e8f\u6392\u597d\u7684\u300d\u3002<\/li>\n
- \u6761\u4ef6\u4e8c\uff08vector index\uff09\u597d\u6bd4\u300c\u4e66\u524d\u9762\u6709\u4e00\u4efd\u62fc\u97f3\u76ee\u5f55\u300d\u3002<\/li>\n<\/ul>\n
\u53ea\u6709\u5185\u5bb9\u672c\u8eab\u6709\u5e8f\u3001\u53c8\u6709\u76ee\u5f55\uff0c\u6211\u4eec\u624d\u80fd\u7ffb\u76ee\u5f55\u5feb\u901f\u5b9a\u4f4d\u3002\u5982\u679c\u5185\u5bb9\u6839\u672c\u4e0d\u662f\u6309\u62fc\u97f3\u6392\u7684\uff0c\u90a3\u76ee\u5f55\u5c31\u662f\u5047\u7684\uff1b\u5982\u679c\u6709\u5e8f\u4f46\u6ca1\u76ee\u5f55\uff0c\u90a3\u8fd8\u662f\u5f97\u4e00\u9875\u9875\u7ffb\u3002\u4e24\u8005\u7f3a\u4e00\uff0c”\u5feb\u901f\u67e5\u627e”\u90fd\u65e0\u4ece\u8c08\u8d77\u3002<\/p>\n
\u4e0b\u9762\u6211\u4eec\u5206\u522b\u8bf4\u6e05\u695a\u8fd9\u4e24\u4e2a\u6761\u4ef6\uff0c\u4ee5\u53ca\u4e3a\u4ec0\u4e48\u5b83\u4eec\u7f3a\u4e00\u4e0d\u53ef\u3002<\/p>\n
\u4e8c\u3001\u6761\u4ef6\u4e00\uff1a\u6570\u636e\u5fc5\u987b\u662f\u539f\u751f vector \u7c7b\u578b<\/h1>\n
FalkorDB \u91cc\u6709\u4e2a\u5f88\u5173\u952e\u3001\u4f46\u53c8\u5f88\u5bb9\u6613\u88ab\u5ffd\u7565\u7684\u533a\u522b\uff1a\u300c\u4e00\u4e32\u6570\u5b57\u300d\u548c\u300c\u4e00\u4e2a\u5411\u91cf\u300d\u5728\u5b58\u50a8\u5c42\u9762\u662f\u5b8c\u5168\u4e0d\u540c\u7684\u4e1c\u897f\u3002<\/strong><\/p>\n\u4ec0\u4e48\u624d\u7b97 vector \u7c7b\u578b<\/h2>\n
\u5728\u5199\u5165\u7684\u65f6\u5019\uff0c\u6211\u4eec\u5fc5\u987b\u7528 vecf32()<\/code> \u628a\u6570\u7ec4\u663e\u5f0f\u8f6c\u6362\u6210\u5411\u91cf\u7c7b\u578b\uff1a<\/p>\nCREATE (:Entity {name: 'Alice', embedding: vecf32([0.1, 0.2, 0.3, 0.4])})\n<\/code><\/pre>\n\u6ce8\u610f\u8fd9\u91cc\u7684 vecf32(...)<\/code>\u3002\u5b83\u628a\u666e\u901a\u6570\u7ec4\u8f6c\u6210\u4e86 FalkorDB \u5185\u90e8\u7684 32 \u4f4d\u6d6e\u70b9\u5411\u91cf\u7c7b\u578b\u3002\u53ea\u6709\u7ecf\u8fc7\u8fd9\u4e00\u6b65\uff0c\u8fd9\u4e2a\u5c5e\u6027\u624d\u662f\u300c\u771f\u6b63\u7684\u5411\u91cf\u300d\uff0c\u5411\u91cf\u7d22\u5f15\u548c ANN \u68c0\u7d22\u624d\u8ba4\u5f97\u5b83\u3002<\/p>\n\u8bef\u533a\u4e00\uff1aembedding \u662f\u666e\u901a List\uff0c\u4e0d\u662f vector \u7c7b\u578b<\/h2>\n
\u8fd9\u662f\u6700\u5e38\u89c1\u7684\u5751\u3002\u5f88\u591a\u5199\u5165\u4ee3\u7801\u662f\u8fd9\u6837\u7684\uff1a<\/p>\n
# \u53cd\u4f8b\uff1a\u76f4\u63a5\u628a 4096 \u7ef4\u6570\u7ec4\u5199\u8fdb\u53bb\ngraph.query(\n "MATCH (n:entities {id: $id}) SET n.embedding = $vec",\n {"id": doc_id, "vec": embedding_list}, # embedding_list \u662f list[float]\n)\n<\/code><\/pre>\nembedding_list<\/code> \u662f\u4e00\u4e2a 4096 \u7ef4\u7684 Python list<\/code>\uff0c\u901a\u8fc7 Redis \/ Cypher \u4f20\u8fdb\u53bb\u540e\uff0cFalkorDB \u628a\u5b83\u5b58\u6210\u539f\u751f List \u7c7b\u578b<\/strong>\u3002<\/p>\n\u95ee\u9898\u5728\u4e8e\uff1a<\/p>\n
\n- List \u770b\u8d77\u6765\u80fd\u5b58\u4e0b\u6240\u6709\u6d6e\u70b9\u6570\uff0c\u529f\u80fd\u4e0a”\u6ca1\u62a5\u9519”\uff1b<\/li>\n
- \u4f46\u5411\u91cf\u7d22\u5f15\u4e0d\u4f1a\u6536\u5f55 List \u7c7b\u578b\u7684\u5c5e\u6027<\/strong>\uff1b<\/li>\n
- \u4e8e\u662f
db.idx.vector.queryNodes<\/code> \u8981\u4e48\u8fd4\u56de\u7a7a\uff0c\u8981\u4e48\u56e0\u4e3a\u7d22\u5f15\u91cc\u6ca1\u6709\u6761\u76ee\u800c\u67e5\u4e0d\u5230\u76ee\u6807\u8282\u70b9\u3002<\/li>\n<\/ul>\n\u6b63\u786e\u505a\u6cd5<\/strong>\u662f\u5728 Cypher \u91cc\u7528 vecf32()<\/code> \u5305\u4e00\u5c42\uff1a<\/p>\n# \u6b63\u786e\ngraph.query(\n "MATCH (n:entities {id: $id}) SET n.embedding = vecf32($vec)",\n {"id": doc_id, "vec": embedding_list},\n)\n<\/code><\/pre>\n\n\u5224\u522b\u5c0f\u6280\u5de7\uff1a\u53ef\u4ee5\u7528 RETURN typeof(n.embedding)<\/code> \u68c0\u67e5\u5c5e\u6027\u7c7b\u578b\u3002\u5982\u679c\u8fd4\u56de\u7684\u4e0d\u662f\u5411\u91cf\u7c7b\u578b\uff0c\u800c\u662f\u6570\u7ec4\u7c7b\u578b\uff0c\u8bf4\u660e\u6211\u4eec\u8e29\u4e86\u8fd9\u4e2a\u5751\u3002<\/p>\n<\/blockquote>\n\u8bef\u533a\u4e8c\uff1aembedding \u662f string\uff0c\u4e0d\u662f vector \u7c7b\u578b<\/h2>\n
\u7b2c\u4e8c\u4e2a\u5e38\u89c1\u95ee\u9898\uff1a\u5411\u91cf\u88ab\u5e8f\u5217\u5316\u6210\u5b57\u7b26\u4e32<\/strong>\u518d\u5b58\u8fdb\u53bb\u3002\u8fd9\u5728\u8de8\u7cfb\u7edf\u4f20\u8f93\u3001JSON \u5e8f\u5217\u5316\u65f6\u7279\u522b\u5bb9\u6613\u53d1\u751f\uff1a<\/p>\n# \u53cd\u4f8b\uff1a\u628a\u5411\u91cf JSON \u5e8f\u5217\u5316\u6210\u5b57\u7b26\u4e32\u5b58\u50a8\nimport json\ngraph.query(\n "MATCH (n:entities {id: $id}) SET n.embedding = $vec",\n {"id": doc_id, "vec": json.dumps(embedding_list)}, # \u53d8\u6210\u4e86 "[0.1, 0.2, ...]"\n)\n<\/code><\/pre>\n\u6b64\u65f6 n.embedding<\/code> \u662f\u4e00\u4e2a string<\/code>\uff0c\u5185\u5bb9\u662f \"[0.1, 0.2, ...]\"<\/code>\u3002<\/p>\n\u540e\u679c\u548c\u8bef\u533a\u4e00\u7c7b\u4f3c\uff0c\u751a\u81f3\u66f4\u9690\u853d\uff1a<\/p>\n
\n- \u5b57\u7b26\u4e32\u5b8c\u5168\u65e0\u6cd5\u88ab\u5411\u91cf\u7d22\u5f15\u8bc6\u522b\uff1b<\/li>\n
- \u5982\u679c\u540e\u7eed\u4ee3\u7801\u8fd8\u9700\u8981\u8bfb\u56de\u5411\u91cf\u505a\u624b\u5de5\u76f8\u4f3c\u5ea6\u8ba1\u7b97\uff0c\u5c31\u5f97\u5148
json.loads()<\/code> \u53cd\u5e8f\u5217\u5316\uff0c\u591a\u4e00\u5c42\u5f00\u9500\uff1b<\/li>\n- \u66f4\u7cdf\u7684\u662f\uff0c\u4e00\u65e6\u4e00\u90e8\u5206\u6570\u636e\u662f string\u3001\u4e00\u90e8\u5206\u662f vector\uff0c\u95ee\u9898\u4f1a\u5f88\u96be\u6392\u67e5\u3002<\/li>\n<\/ul>\n
\u6839\u56e0<\/strong>\u901a\u5e38\u662f\uff1a\u6570\u636e\u5728\u67d0\u4e2a\u73af\u8282\u88ab JSON \u5e8f\u5217\u5316\uff08\u6bd4\u5982\u7ecf\u8fc7\u67d0\u4e2a API\u3001\u7f13\u5b58\u5c42\u3001\u6216\u9519\u8bef\u7684 ORM \u6620\u5c04\uff09\uff0c\u5230\u4e86\u5199\u5e93\u65f6\u5fd8\u4e86\u53cd\u5e8f\u5217\u5316 + vecf32()<\/code>\u3002<\/p>\n\u6b63\u786e\u505a\u6cd5<\/strong>\u662f\u4fdd\u8bc1\u4f20\u5165 Cypher \u7684\u662f\u539f\u59cb\u6d6e\u70b9\u6570\u7ec4\uff0c\u5e76\u7528 vecf32()<\/code> \u8f6c\u6362\uff1a<\/p>\n# \u6b63\u786e\uff1a\u5148\u786e\u4fdd\u662f\u6570\u7ec4\uff0c\u518d vecf32()\nvec = json.loads(raw) if isinstance(raw, str) else raw\ngraph.query(\n "MATCH (n:entities {id: $id}) SET n.embedding = vecf32($vec)",\n {"id": doc_id, "vec": vec},\n)\n<\/code><\/pre>\n\u600e\u4e48\u786e\u8ba4\u81ea\u5df1\u5b58\u5bf9\u4e86<\/h2>\n
\u5224\u65ad\u771f\u5047\u7684\u5173\u952e\uff0c\u662f\u770b\u7c7b\u578b<\/strong>\u800c\u4e0d\u662f\u770b\u957f\u76f8<\/strong>\u3002\u6211\u4eec\u53ef\u4ee5\u7528 Cypher \u628a\u5c5e\u6027\u7684\u7c7b\u578b\u6253\u51fa\u6765\u786e\u8ba4\uff1a<\/p>\nMATCH (n:Entity {name: 'Alice'})\nRETURN n.embedding, typeof(n.embedding)\n<\/code><\/pre>\n\u5982\u679c\u8fd4\u56de\u7684\u7c7b\u578b\u662f Vectorf32<\/code>\uff0c\u8bf4\u660e\u5b58\u5bf9\u4e86\uff1b\u5982\u679c\u662f Array<\/code>\uff08List\uff09\u6216 String<\/code>\uff0c\u90a3\u5c31\u662f\u8e29\u4e86\u4e0a\u9762\u7684\u5751\u3002<\/p>\n\u8fd9\u91cc\u6709\u4e2a\u5f88\u503c\u5f97\u5f3a\u8c03\u7684\u70b9\uff1a\u666e\u901a List \u548c vector \u6253\u5370\u51fa\u6765\u51e0\u4e4e\u4e00\u6a21\u4e00\u6837<\/strong>\uff0c\u90fd\u662f [0.1, 0.2, ...]<\/code> \u8fd9\u79cd\u6837\u5b50\u3002\u6240\u4ee5\u8089\u773c\u770b\u6570\u636e\u662f\u9a97\u4e0d\u4e86\u81ea\u5df1\u7684\uff0c\u5fc5\u987b\u770b\u7c7b\u578b\u3002\u5f88\u591a\u4eba\u6392\u67e5\u534a\u5929\u6ca1\u5934\u7eea\uff0c\u5c31\u662f\u56e0\u4e3a\u4e00\u76f4\u76ef\u7740\u300c\u503c\u300d\u770b\uff0c\u800c\u6ca1\u53bb\u770b\u300c\u7c7b\u578b\u300d\u3002<\/p>\n\u4e09\u3001\u6761\u4ef6\u4e8c\uff1a\u5fc5\u987b\u5728\u5c5e\u6027\u4e0a\u521b\u5efa\u5411\u91cf\u7d22\u5f15<\/h1>\n
\u5047\u8bbe\u6211\u4eec\u5df2\u7ecf\u628a embedding \u6b63\u786e\u5b58\u6210\u4e86 vector \u7c7b\u578b\uff0c\u662f\u4e0d\u662f\u5c31\u80fd\u67e5\u4e86\uff1f\u8fd8\u4e0d\u884c\u3002\u6211\u4eec\u8fd8\u9700\u8981\u4e3a\u8fd9\u4e2a\u5c5e\u6027\u663e\u5f0f\u521b\u5efa\u5411\u91cf\u7d22\u5f15\uff1a<\/p>\n
CREATE VECTOR INDEX FOR (n:Entity) ON (n.embedding)\nOPTIONS {dimension: 4096, similarityFunction: 'cosine'}\n<\/code><\/pre>\n\u8fd9\u91cc\u6709\u51e0\u4e2a\u53c2\u6570\u8981\u7279\u522b\u6ce8\u610f\uff1a<\/p>\n
\ndimension<\/code>\uff1a\u5fc5\u987b\u548c\u6211\u4eec\u5b9e\u9645\u5199\u5165\u7684\u5411\u91cf\u7ef4\u5ea6\u5b8c\u5168\u4e00\u81f4<\/strong>\u3002\u5982\u679c\u6211\u4eec\u7684\u6a21\u578b\u8f93\u51fa\u662f 4096 \u7ef4\uff0c\u8fd9\u91cc\u5c31\u5f97\u5199 4096\u3002\u7ef4\u5ea6\u5bf9\u4e0d\u4e0a\uff0c\u7d22\u5f15\u8981\u4e48\u5efa\u4e0d\u6210\u529f\uff0c\u8981\u4e48\u67e5\u8be2\u65f6\u5339\u914d\u4e0d\u4e0a\u3002<\/li>\nsimilarityFunction<\/code>\uff1a\u76f8\u4f3c\u5ea6\u51fd\u6570\uff0c\u5e38\u89c1\u7684\u662f cosine<\/code>\uff08\u4f59\u5f26\uff09\u6216 euclidean<\/code>\uff08\u6b27\u6c0f\u8ddd\u79bb\uff09\u3002\u8fd9\u4e2a\u8981\u548c\u6211\u4eec\u68c0\u7d22\u65f6\u7684\u8bed\u4e49\u4e00\u81f4\u2014\u2014\u5982\u679c embedding \u662f\u4e3a\u4f59\u5f26\u76f8\u4f3c\u5ea6\u8bad\u7ec3\u7684\uff0c\u5c31\u8be5\u7528 cosine<\/code>\u3002<\/li>\n<\/ul>\n\u4e3a\u4ec0\u4e48\u6ca1\u6709\u7d22\u5f15\u4e5f\u300c\u80fd\u67e5\u300d\uff0c\u4f46\u7b49\u4e8e\u6ca1\u7528<\/h2>\n
\u8fd9\u91cc\u6709\u4e2a\u7279\u522b\u5bb9\u6613\u8ba9\u4eba\u8bef\u5224\u7684\u73b0\u8c61\uff1a\u5373\u4f7f\u6ca1\u5efa\u5411\u91cf\u7d22\u5f15\uff0c\u6709\u4e9b\u5199\u6cd5\u4e0b\u67e5\u8be2\u4e5f\u4e0d\u4f1a\u76f4\u63a5\u62a5\u9519<\/strong>\uff0c\u751a\u81f3\u80fd\u8fd4\u56de\u7ed3\u679c\u3002\u8fd9\u4f1a\u8ba9\u6211\u4eec\u8bef\u4ee5\u4e3a\u300c\u4e00\u5207\u6b63\u5e38\u300d\u3002<\/p>\n\u4f46\u771f\u76f8\u662f\uff1a\u6ca1\u6709\u5411\u91cf\u7d22\u5f15\u65f6\uff0cdb.idx.vector.queryNodes<\/code> \u8fd9\u4e2a\u539f\u751f ANN \u5165\u53e3\u6839\u672c\u7528\u4e0d\u4e86\uff1b\u5c31\u7b97\u6211\u4eec\u6539\u7528\u522b\u7684\u65b9\u5f0f\uff08\u6bd4\u5982\u624b\u52a8\u7b97\u8ddd\u79bb\u518d\u6392\u5e8f\uff09\u52c9\u5f3a\u80fd\u67e5\uff0c\u8d70\u7684\u4e5f\u662f\u5168\u91cf\u7ebf\u6027\u626b\u63cf<\/strong>\u2014\u2014\u628a\u6bcf\u4e2a\u8282\u70b9\u7684\u5411\u91cf\u90fd\u62ff\u51fa\u6765\u7b97\u4e00\u904d\u8ddd\u79bb\uff0c\u518d\u6392\u5e8f\u53d6 Top-K\u3002<\/p>\n\u5728\u51e0\u767e\u4e2a\u8282\u70b9\u7684\u73a9\u5177\u6570\u636e\u96c6\u4e0a\uff0c\u8fd9\u79cd\u5168\u626b\u63cf\u611f\u89c9\u4e0d\u51fa\u6162\u3002\u53ef\u4e00\u65e6\u6570\u636e\u6da8\u5230\u51e0\u5341\u4e07\u3001\u4e0a\u767e\u4e07\u8282\u70b9\uff0c\u6bcf\u6b21\u67e5\u8be2\u90fd\u8981\u904d\u5386\u6240\u6709\u5411\u91cf\uff0c\u5ef6\u8fdf\u4f1a\u76f4\u63a5\u7206\u70b8\u3002\u6211\u4eec\u672c\u6765\u6307\u671b\u7684 ANN\u300c\u8fd1\u4f3c\u6700\u8fd1\u90bb\u3001\u4e9a\u7ebf\u6027\u590d\u6742\u5ea6\u300d\u7684\u4f18\u52bf\uff0c\u4e00\u70b9\u90fd\u6ca1\u4eab\u53d7\u5230\u3002<\/p>\n
\u6240\u4ee5\u300c\u80fd\u8fd4\u56de\u7ed3\u679c\u300d\u548c\u300c\u5411\u91cf\u68c0\u7d22\u751f\u6548\u300d\u662f\u4e24\u56de\u4e8b\u3002\u771f\u6b63\u751f\u6548\u7684\u6807\u5fd7\uff0c\u662f db.idx.vector.queryNodes<\/code> \u80fd\u8d70\u7d22\u5f15\uff0c\u4eab\u53d7\u5230 ANN \u7684\u52a0\u901f\u3002<\/p>\n\u56db\u3001\u628a\u4e24\u4e2a\u6761\u4ef6\u4e32\u8d77\u6765\uff1a\u4e00\u4e2a\u5b8c\u6574\u7684\u6b63\u786e\u6d41\u7a0b<\/h1>\n
\u6211\u4eec\u628a\u6574\u4e2a\u6b63\u786e\u7684\u94fe\u8def\u5b8c\u6574\u8d70\u4e00\u904d\uff0c\u65b9\u4fbf\u5bf9\u7167\u68c0\u67e5\uff1a<\/p>\n
\u7b2c\u4e00\u6b65\uff0c\u5efa\u7d22\u5f15\uff08\u53ef\u4ee5\u5148\u5efa\uff0c\u4e5f\u53ef\u4ee5\u6570\u636e\u5199\u5b8c\u518d\u5efa\uff09\uff1a<\/p>\n
CREATE VECTOR INDEX FOR (n:Entity) ON (n.embedding)\nOPTIONS {dimension: 4096, similarityFunction: 'cosine'}\n<\/code><\/pre>\n\u7b2c\u4e8c\u6b65\uff0c\u5199\u5165\u6570\u636e\u65f6\u7528 vecf32()<\/code> \u8f6c\u6210 vector \u7c7b\u578b\uff1a<\/p>\nCREATE (:Entity {name: 'Alice', embedding: vecf32($vec_4096)})\n<\/code><\/pre>\n\u7b2c\u4e09\u6b65\uff0c\u7528\u539f\u751f API \u505a\u68c0\u7d22\uff1a<\/p>\n
CALL db.idx.vector.queryNodes('Entity', 'embedding', 10, vecf32($query_vec))\nYIELD node, score\nRETURN node.name, score\nORDER BY score\n<\/code><\/pre>\n\u6ce8\u610f\u67e5\u8be2\u5411\u91cf\u672c\u8eab\u4e5f\u8981\u7528 vecf32()<\/code> \u5305\u4e00\u5c42\u2014\u2014\u67e5\u8be2\u4fa7\u548c\u5b58\u50a8\u4fa7\u7684\u7c7b\u578b\u5fc5\u987b\u5bf9\u9f50\u3002<\/p>\n\u53ea\u8981\u8fd9\u4e09\u6b65\u90fd\u5bf9\uff0c\u6211\u4eec\u5c31\u80fd\u4eab\u53d7\u5230\u771f\u6b63\u7684\u539f\u751f ANN \u68c0\u7d22\u4e86\u3002<\/p>\n
\u4e94\u3001\u6392\u67e5\u6e05\u5355\uff1a\u5f53 queryNodes \u4e0d\u5de5\u4f5c\u65f6<\/h1>\n
\u5982\u679c\u68c0\u7d22\u51fa\u95ee\u9898\uff0c\u6211\u4eec\u53ef\u4ee5\u6309\u4e0b\u9762\u8fd9\u4e2a\u987a\u5e8f\u9010\u9879\u6392\u67e5\uff0c\u57fa\u672c\u80fd\u5b9a\u4f4d\u5230\u7edd\u5927\u591a\u6570\u60c5\u51b5\uff1a<\/p>\n
\n- \u67e5\u7c7b\u578b\uff0c\u522b\u67e5\u503c\u3002<\/strong> \u7528
typeof(n.embedding)<\/code> \u786e\u8ba4\u5c5e\u6027\u662f\u4e0d\u662f Vectorf32<\/code>\u3002\u662f Array<\/code> \u6216 String<\/code> \u5c31\u8bf4\u660e\u5199\u5165\u65f6\u6ca1\u7528 vecf32()<\/code>\uff0c\u6216\u8005\u6570\u636e\u5728\u5bfc\u5165\u65f6\u88ab\u5e8f\u5217\u5316\u6210\u4e86\u522b\u7684\u7c7b\u578b\u3002<\/li>\n- \u786e\u8ba4\u7d22\u5f15\u771f\u7684\u5efa\u6210\u529f\u4e86\u3002<\/strong> \u7528
db.indexes<\/code> \u6216\u5bf9\u5e94\u547d\u4ee4\u5217\u51fa\u6240\u6709\u7d22\u5f15\uff0c\u770b\u76ee\u6807\u5c5e\u6027\u4e0a\u662f\u4e0d\u662f\u771f\u6709\u4e00\u4e2a vector index\u3002<\/li>\n- \u6838\u5bf9\u7ef4\u5ea6\u3002<\/strong> \u7d22\u5f15\u58f0\u660e\u7684
dimension<\/code> \u5fc5\u987b\u548c\u5b9e\u9645\u5199\u5165\u7684\u5411\u91cf\u7ef4\u5ea6\u4e00\u81f4\u30024096 \u7ef4\u7684\u5411\u91cf\u914d\u4e86\u4e2a 1536 \u7ef4\u7684\u7d22\u5f15\uff0c\u80af\u5b9a\u5bf9\u4e0d\u4e0a\u3002<\/li>\n- \u6838\u5bf9\u76f8\u4f3c\u5ea6\u51fd\u6570\u3002<\/strong> \u68c0\u7d22\u8bed\u4e49\u8981\u548c
similarityFunction<\/code> \u4e00\u81f4\uff0c\u522b\u62ff\u6b27\u6c0f\u8ddd\u79bb\u7684\u7d22\u5f15\u53bb\u505a\u4f59\u5f26\u68c0\u7d22\u3002<\/li>\n- \u786e\u8ba4\u67e5\u8be2\u5411\u91cf\u4e5f\u8f6c\u4e86\u7c7b\u578b\u3002<\/strong> \u67e5\u8be2\u4fa7\u4f20\u8fdb\u53bb\u7684\u5411\u91cf\u4e5f\u8981\u7ecf\u8fc7
vecf32()<\/code>\u3002<\/li>\n<\/ol>\n\u8fd9\u4e94\u6b65\u91cc\uff0c\u7b2c 1 \u6b65\u662f\u6700\u9ad8\u9891\u7684\u5751\u3002\u56e0\u4e3a\u666e\u901a List\u3001string \u548c vector \u6253\u5370\u51fa\u6765\u957f\u5f97\u51e0\u4e4e\u4e00\u6837\uff0c\u53ea\u6709\u770b\u7c7b\u578b\u624d\u80fd\u6233\u7834\u4f2a\u88c5\u3002<\/p>\n
\u516d\u3001\u603b\u7ed3<\/h1>\n
FalkorDB \u7684\u539f\u751f\u5411\u91cf\u68c0\u7d22 db.idx.vector.queryNodes<\/code> \u8981\u5de5\u4f5c\uff0c\u672c\u8d28\u5c31\u662f\u4e24\u4e2a\u5fc5\u8981\u6761\u4ef6\uff0c\u7f3a\u4e00\u4e0d\u53ef\uff1a<\/p>\n\n- \u6570\u636e\u662f\u771f\u6b63\u7684 vector \u7c7b\u578b<\/strong>\uff08\u7528
vecf32()<\/code> \u8f6c\u8fc7\uff09\uff0c\u800c\u4e0d\u662f\u957f\u5f97\u50cf\u5411\u91cf\u7684\u666e\u901a List \u6216 string\u3002<\/li>\n- \u5c5e\u6027\u4e0a\u5efa\u4e86\u5411\u91cf\u7d22\u5f15<\/strong>\uff0c\u4e14\u7ef4\u5ea6\u3001\u76f8\u4f3c\u5ea6\u51fd\u6570\u90fd\u5bf9\u5f97\u4e0a\u3002<\/li>\n<\/ul>\n
\u6700\u5bb9\u6613\u8ba9\u4eba\u683d\u8ddf\u5934\u7684\u5730\u65b9\uff0c\u662f\u300c\u6570\u636e\u770b\u8d77\u6765\u6ca1\u95ee\u9898\u300d\u8fd9\u79cd\u9519\u89c9\uff1aList\u3001string \u548c vector \u6253\u5370\u51fa\u6765\u51e0\u4e4e\u65e0\u6cd5\u533a\u5206\uff0c\u6240\u4ee5\u6211\u4eec\u6392\u67e5\u65f6\u4e00\u5b9a\u8981\u770b\u7c7b\u578b\u3001\u4e0d\u8981\u770b\u503c<\/strong>\u3002\u540c\u65f6\u4e5f\u8981\u8bb0\u4f4f\uff0c\u300c\u67e5\u8be2\u80fd\u8fd4\u56de\u7ed3\u679c\u300d\u4e0d\u7b49\u4e8e\u300c\u5411\u91cf\u7d22\u5f15\u751f\u6548\u300d\u2014\u2014\u53ea\u6709\u8d70\u4e86\u7d22\u5f15\u7684 ANN \u68c0\u7d22\uff0c\u624d\u80fd\u5728\u5927\u6570\u636e\u91cf\u4e0b\u771f\u6b63\u8dd1\u5f97\u5feb\u3002<\/p>\n\u628a\u8fd9\u4e24\u4e2a\u6761\u4ef6\u548c\u8fd9\u51e0\u4e2a\u8bef\u533a\u8bb0\u7262\uff0c\u6211\u4eec\u5728 FalkorDB \u4e0a\u505a\u5411\u91cf\u68c0\u7d22\u65f6\u5c31\u80fd\u5c11\u8e29\u5f88\u591a\u5751\u3002<\/p>\n
\u5982\u679c\u89c9\u5f97\u8fd9\u7bc7\u6587\u7ae0\u5bf9\u4f60\u6709\u5e2e\u52a9\uff0c\u6b22\u8fce\u70b9\u8d5e\u3001\u6536\u85cf\u52a0\u5173\u6ce8<\/strong>\u3002\u540e\u7eed\u6301\u7eed\u5206\u4eab\u66f4\u591a\u6709\u4ef7\u503c\u7684\u5185\u5bb9\u3002\u4f60\u7684\u652f\u6301\u662f\u6211\u521b\u4f5c\u7684\u6700\u5927\u52a8\u529b\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728\u7528 FalkorDB\uff08\u4e00\u4e2a\u517c\u5bb9 Redis \u534f\u8bae\u7684\u56fe\u6570\u636e\u5e93\uff09\u505a GraphRAG \u6216\u8bed\u4e49\u68c0\u7d22\u65f6\uff0c\u6211\u4eec\u7ecf\u5e38\u60f3\u7528 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[59],"tags":[135,136,133,134,53],"class_list":["post-76","post","type-post","status-publish","format-standard","hentry","category-falkordb","tag-ann","tag-vecf32","tag-133","tag-134","tag-53"],"_links":{"self":[{"href":"https:\/\/genetop.top\/index.php\/wp-json\/wp\/v2\/posts\/76","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/genetop.top\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/genetop.top\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/genetop.top\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/genetop.top\/index.php\/wp-json\/wp\/v2\/comments?post=76"}],"version-history":[{"count":0,"href":"https:\/\/genetop.top\/index.php\/wp-json\/wp\/v2\/posts\/76\/revisions"}],"wp:attachment":[{"href":"https:\/\/genetop.top\/index.php\/wp-json\/wp\/v2\/media?parent=76"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/genetop.top\/index.php\/wp-json\/wp\/v2\/categories?post=76"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/genetop.top\/index.php\/wp-json\/wp\/v2\/tags?post=76"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}