[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-oracle-ai-doesnt-need-another-database-en":3,"article-related-oracle-ai-doesnt-need-another-database-en":35,"series-industry-1c551c17-a6ef-4c69-89af-17fc91c6ca1d":87},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":18,"translated_content":10,"views":19,"is_premium":20,"created_at":21,"updated_at":21,"cover_image":11,"published_at":22,"rewrite_status":23,"rewrite_error":10,"rewritten_from_id":24,"slug":25,"category":26,"related_article_id":27,"status":28,"google_indexed_at":10,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":29,"topic_cluster_id":33,"embedding":34,"is_canonical_seed":20},"1c551c17-a6ef-4c69-89af-17fc91c6ca1d","Oracle: AI doesn’t need another database","\u003Cp data-speakable=\"summary\">InfoWorld says most AI apps should use vector search inside existing databases, not a separate vector store.\u003C\u002Fp>\u003Cp>For \u003Ca href=\"\u002Ftag\u002Fenterprise-ai\">enterprise AI\u003C\u002Fa>, the case for a standalone \u003Ca href=\"\u002Fnews\u002Fhow-to-choose-a-vector-database-in-2026-en\">vector database\u003C\u002Fa> is getting weaker. In an InfoWorld opinion piece published May 11, 2026, Matt Asay argues that vector support is now common across major databases, so teams should add embeddings to the systems they already run instead of creating a second source of truth.\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Publication date\u003C\u002Ftd>\u003Ctd>May 11, 2026\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>DB-Engines tracked databases\u003C\u002Ftd>\u003Ctd>434\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Pinecone launch year\u003C\u002Ftd>\u003Ctd>2021\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Postgres pgvector release\u003C\u002Ftd>\u003Ctd>2021\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>SQL Server version\u003C\u002Ftd>\u003Ctd>2025\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Oracle AI Database version\u003C\u002Ftd>\u003Ctd>26ai\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>What changed\u003C\u002Fh2>\u003Cp>The article says the old pitch for vector databases has faded: traditional databases now support vector types, vector search, and vector indexes. Asay cites \u003Ca href=\"https:\u002F\u002Fwww.oracle.com\u002Fdatabase\u002F\" target=\"_blank\" rel=\"noopener\">Oracle AI Database 26ai\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fsql-server\" target=\"_blank\" rel=\"noopener\">SQL Server 2025\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.mongodb.com\u002Fproducts\u002Fplatform\u002Fatlas-vector-search\" target=\"_blank\" rel=\"noopener\">MongoDB Atlas Vector Search\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fpgvector\u002Fpgvector\" target=\"_blank\" rel=\"noopener\">pgvector\u003C\u002Fa> as examples of vector support moving into mainstream data platforms.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778973231751-6pu3.png\" alt=\"Oracle: AI doesn’t need another database\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>That shift changes the debate. The value is no longer just storing embeddings; it is retrieval quality, freshness, permissions, and operational simplicity. The article says vendors such as \u003Ca href=\"https:\u002F\u002Fwww.pinecone.io\u002F\" target=\"_blank\" rel=\"noopener\">Pinecone\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fweaviate.io\u002F\" target=\"_blank\" rel=\"noopener\">Weaviate\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fmilvus.io\u002F\" target=\"_blank\" rel=\"noopener\">Milvus\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Fqdrant.tech\u002F\" target=\"_blank\" rel=\"noopener\">Qdrant\u003C\u002Fa> are moving up the stack toward those problems.\u003C\u002Fp>\u003Cul>\u003Cli>Vector search matters for RAG, recommendations, personalization, and agent memory.\u003C\u002Fli>\u003Cli>Production AI needs context tied to transactions, documents, policies, and access rules.\u003C\u002Fli>\u003Cli>Separate systems can create stale embeddings and inconsistent answers.\u003C\u002Fli>\u003Cli>Asay says retrieval should sit close to governed data, not in a detached side system.\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>Why it matters\u003C\u002Fh2>\u003Cp>For developers, the practical message is simple: if the data already lives in a database, start there. That reduces glue code, avoids syncing multiple stores, and keeps permissions and freshness aligned with the source of truth. The article argues this is especially important when AI assistants answer from customer records, invoices, support tickets, or policy documents.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778973229865-c60k.png\" alt=\"Oracle: AI doesn’t need another database\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>Standalone vector databases still make sense when retrieval is the product, not just a feature. Search platforms, large multitenant \u003Ca href=\"\u002Ftag\u002Frag\">RAG\u003C\u002Fa> services, and systems with strict latency or ranking needs may still justify specialized infrastructure. But the default architecture for most enterprise apps is shifting toward embedded vector support inside existing databases.\u003C\u002Fp>\u003Cp>The market takeaway is that vector vendors now have to win on more than storage. They need to prove they can deliver better retrieval, lower latency, stronger developer experience, and cleaner operations than the database teams enterprises already trust.\u003C\u002Fp>\u003Cp>The question now is not whether vector search matters. It is whether teams really need another database, or just better retrieval inside the one they already have.\u003C\u002Fp>","InfoWorld argues vector search belongs in existing databases, not a separate stack, as vendors like Pinecone move toward retrieval quality.","www.infoworld.com","https:\u002F\u002Fwww.infoworld.com\u002Farticle\u002F4169087\u002Fyour-ai-doesnt-need-another-database.html",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778973231751-6pu3.png",[13,14,15,16,17],"vector databases","RAG","enterprise AI","database","Pinecone","en",0,false,"2026-05-16T23:13:30.908237+00:00","2026-05-16T23:13:30.897+00:00","done","dd0643f6-807d-4030-8528-eaf7dc71e455","oracle-ai-doesnt-need-another-database-en","industry","ba13eda6-dc79-45df-a32e-c6a4e26785c1","published",[30,31,32],"Vector support is now built into major databases, weakening the case for a separate vector store.","Most enterprise AI apps need freshness, permissions, and context tied to existing data systems.","Standalone vector databases still fit search-heavy products where retrieval is the core workload.","50ad070c-8891-4ccc-a7ee-038aa8918c86","[-0.03906515,-0.017550545,0.012332533,-0.1038633,-0.013847603,-0.003889423,-0.0024966514,0.028497772,0.00107806,0.0013341951,-0.016979368,-0.0027895905,0.015680304,0.007151949,0.112247996,0.011307325,0.0064553763,0.008456503,-0.019595131,-0.022270955,-0.00805122,0.007322286,-0.016304042,-0.0073507386,0.014866172,-0.016728867,0.01321945,0.0070315627,0.037344683,-0.003471892,0.0025197836,-0.016877213,0.02336204,0.028001504,0.0056306636,0.038874667,-0.0026469606,-0.011772702,0.022892494,0.0015149019,0.013176452,-0.008063883,-0.0060911174,0.006229266,-0.016454563,0.011652781,0.021829212,-0.012270752,0.0050572585,0.016609553,0.005092395,-0.009814626,-0.029646955,-0.14455472,0.012418199,0.024571626,0.022704156,-0.019014625,0.0065324586,0.0010557496,0.0038289903,0.015989993,-0.014581472,0.013186791,-0.02652367,-0.033662595,0.024083074,-0.022112744,-0.006950429,-0.02661191,0.0019126635,0.0140483575,0.013018306,-0.036157057,0.01533918,-0.02986499,0.02805368,-0.010763113,-0.003730554,0.025277441,0.006497793,-0.027769737,0.0011058843,-0.021693556,-0.0034131862,0.006326327,0.009178644,-0.02218496,0.021180905,-0.0016075826,-0.0009089325,-0.013066428,-0.011917509,0.021812785,-0.010049806,0.009436085,-0.02769981,-0.0023542221,0.0042293635,0.0136532355,-0.01259448,-0.016290087,0.009944262,-0.0029226397,0.02308317,-0.0052632107,0.009226735,-0.013277905,-0.0048180535,-0.00030668674,0.024112927,-0.01827376,-0.033632454,-0.019095156,0.018105526,-0.12171318,-0.02118212,0.012024472,0.0049610226,0.011005438,-0.018002868,0.0056677377,0.018309461,-0.0063186754,-0.00401616,-0.01161451,0.0023620513,-0.019099029,-0.023073843,0.027937312,-0.01942945,-0.0029824816,-0.005798703,-0.0139276935,0.0054701706,0.0035200824,0.017881135,-0.01574017,0.012604509,-0.02130668,0.009747766,0.029158147,-0.0066218036,0.010642144,-0.02266,0.0033610798,-0.036018297,0.008039887,0.0344367,0.012406174,0.03087236,0.003935997,-0.012911767,-0.004962125,0.023817172,-0.010665959,-0.013649612,0.002122206,0.017099652,0.019706951,0.0044370675,-0.00086334767,-0.019908158,-0.008159969,-0.014201353,0.006111412,0.013508117,-0.016880697,0.01048233,0.025955949,-0.026020395,-0.010624983,-0.031314023,-0.010094962,0.024125602,-0.013140679,-0.0032843952,0.021276377,-0.02434152,-0.007280976,0.037936788,0.0059909197,0.01166646,0.020649396,0.023901522,0.016901525,0.025925983,0.009235244,0.005356204,-0.0003667032,-0.026042087,-0.0022387437,0.031163054,-0.005645186,-0.0119279325,-0.01149258,-0.008974031,0.029275559,0.00649567,0.013216268,-0.02440386,-0.02326346,0.035732854,0.0048432187,-0.011213874,0.00079095864,-0.0075396947,-0.028347485,-0.0021814632,-0.0036152613,-0.005234245,0.017789165,0.0013236463,-0.015850523,-0.0010619311,-0.037206553,0.005674421,-0.009227124,0.03330161,-0.014347697,0.0076960316,-0.0023552084,0.0011169153,-0.00059697987,0.0070989667,-0.0032446377,-0.024470054,-0.0007402907,0.0049565798,0.021215782,-0.004178714,0.0029666054,-0.017207518,-0.019558746,0.00056246883,-0.014961438,0.007184442,-0.015968628,0.0037878593,0.03736457,-0.019584127,0.0042657675,0.0045885765,0.0035897975,0.02458313,-0.021101968,0.0010989003,-0.0007955468,-0.014510785,0.019913217,-0.0014893925,0.015120269,-0.013510472,0.007023906,-0.005468929,0.0070563513,-0.021423638,0.0036431502,-0.008680438,0.019676067,-0.0106527,-0.026493432,-0.027572293,-0.020405082,0.019446012,0.014594809,0.02346001,-0.006518381,0.0022141417,0.0068944846,-0.0015990341,0.026104076,0.02474535,-0.014768851,0.028029133,0.018059736,-0.010803977,0.027811978,0.0073288027,0.008337338,0.028786395,0.032304484,-0.008640143,-0.0006407345,0.018819647,-0.00078083936,-0.013906377,-0.0014342223,-0.0040809046,0.0077496343,0.010343631,0.005079929,-0.010159621,0.008524471,0.02408007,-0.038946375,0.0060922434,0.009656211,0.002645823,-0.012363325,0.0073490487,-0.0123625975,-0.028189622,0.077640645,-0.01016295,0.025751766,-0.011012112,-0.01076326,-0.003501164,-0.014838061,0.014398164,-0.033744086,-0.018156325,-0.02709946,-0.03183267,-0.00430852,-0.01731669,-0.0086462,-0.014451971,-0.006180451,-0.011605245,-0.006697562,-0.0025228027,0.008681716,-0.031503942,-0.028005486,0.024607703,0.00888517,0.01867737,-0.023834832,-0.013680428,-0.014316957,0.013557639,-0.012687229,-0.03076661,0.0023607276,0.0067951344,-0.01727617,-0.027653325,0.00018068294,0.009512333,-0.020419557,-0.022487719,0.010685889,0.0104406,0.028778985,0.012236575,-0.018240206,-0.018901672,-0.04096085,-0.000111588015,-0.015828744,-0.015837422,-0.028986711,-0.029577406,0.032820467,-0.035889234,0.012571472,0.012939187,-0.02824165,0.0045557776,0.008590781,-0.020358568,-0.0016235631,0.030205352,-0.014784073,0.008739519,0.018819494,-0.017028973,0.014024034,-0.009696781,0.007906321,-0.008195989,-0.008023812,0.014230413,0.0054398444,0.006233321,-0.0137177035,-0.04490352,0.012853134,-0.0021230546,0.033598226,0.008419908,0.0063762576,0.0043975324,0.005236082,-0.00564279,0.010955421,0.013491319,0.044043172,0.0112928,0.016308853,0.0211688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