Return-Path: Delivered-To: alvarochf@traceseis.com Received: from cs510.bluehost.com by cs510.bluehost.com with LMTP id aLTCG0ztxGn+wwwAWiBQxw (envelope-from ) for ; Thu, 26 Mar 2026 02:24:44 -0600 Return-path: Envelope-to: alvarochf@traceseis.com Delivery-date: Thu, 26 Mar 2026 02:24:44 -0600 Received: from maile-aa.linkedin.com ([108.174.3.193]:44509) by cs510.bluehost.com with esmtps (TLS1.3) tls TLS_AES_256_GCM_SHA384 (Exim 4.98.2) (envelope-from ) id 1w5g1E-00000003WMt-18FW for alvarochf@traceseis.com; Thu, 26 Mar 2026 02:24:44 -0600 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=maile.linkedin.com; s=d2048-202308-0e; t=1774513473; bh=fVOJMwWaxYAMbKwrxAFk0Qs4Vevipa0j+Mmc8dLHfHw=; h=Date:From:Subject:MIME-Version:Content-Type:To:X-LinkedIn-Class: X-LinkedIn-Template:X-LinkedIn-fbl; b=rsmvcfBcCOWXRDQTtuNXgSIB5GtcRC+dfTeWudQ2hfL/TpVhdUHfjDoYBWhVbT5pO MsWPRP+bVxtYxMsQoeCUKRMe7OsrDLptjjBFq8Q8Y8llaQAMQ7O+3fsP0ABpsFBe6h CbE73bCD9Y8IaQ16lwIj+8k63VfJI5lLF6hyP+btsRX+SIRFrCrYhY/k3rjoLvmyy6 b8VenIJOxerVQ9ttGdnmDti1ParcEsn+WpNicJI5e6vAJBbaLzRCQcfONQ8Qb9nl4H tnbPLpeRFAQ6Mn8y6m2ULCrz1oiPV8R1Jx6Fr2iI8z+Eh//4GlFvt3CvQQONSdTUgF U6yhN0CQGY5Zw== DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=linkedin.com; s=d2048-202308-00; t=1774513473; bh=fVOJMwWaxYAMbKwrxAFk0Qs4Vevipa0j+Mmc8dLHfHw=; h=Date:From:Subject:MIME-Version:Content-Type:To:X-LinkedIn-Class: X-LinkedIn-Template:X-LinkedIn-fbl; b=hMmDDiAwG0O/Zp9anbnT5lJJYP5flreG3lmDljnOn24z//7zs3qU5yF/DTyg9Ds7S guEeMi7f2odB3iw6X5wNE7pHUIIUiaXXitRC7YSeYLjzwEvsaA3PcfTFIRPesWL1VN M4k9qoVJTSzXVjaX7SD+v7v+VeE9dZVTI2rvpzQyqF9Uk6tWsWOup50a6NI9g7BHZo ie9/CBPXqjP9LIZ9z+EF5WKjSmN9/XvuiAUCToeerFaos3oUuHOLrUddpS+pBCnAqa 01pO3QZkJti8K0jtWH46elns2++Mve1NvP0mGBj/hNy5nsJgTesPGJSY6mIM5p7v1y lIm/tXtRHlWqQ== Date: Thu, 26 Mar 2026 08:24:32 +0000 (UTC) From: Alex Wang via LinkedIn Message-ID: <53108198.2092364.1774513472907@lor1-app128718.prod.linkedin.com> Subject: If You Underestimated Chunking, You Probably Built It Wrong MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="----=_Part_2092362_1066542932.1774513472906" To: "Alvaro Chaveste Jr." X-LinkedIn-Class: EMAIL-DEFAULT X-LinkedIn-Template: email_series_follow_newsletter_02 X-LinkedIn-fbl: m2-aszs3k5kocd49am13rrafbyrbw0p2u0kjqhy2nqm8sr3i2nzz78abzaomgjtmtl6horbniyqdtqr6vxy3c1yxuwpdwh1zgg4d4iid2 X-LinkedIn-Id: niwq2c-mn779fq1-lm List-Unsubscribe: List-Unsubscribe-Post: List-Unsubscribe=One-Click Require-Recipient-Valid-Since: alvarochf@traceseis.com; Wed, 13 Nov 2024 04:36:45 +0000 ------=_Part_2092362_1066542932.1774513472906 Content-Type: text/plain;charset=UTF-8 Content-Transfer-Encoding: quoted-printable Content-ID: text-body Learn AI Together By Alex Wang By Alex Wang =20 =20 Read this article on LinkedIn to join the conversation Read on LinkedIn https://www.linkedin.com/comm/pulse/you-underestimated-chunking-probably-bu= ilt-wrong-alex-wang-ly8sc?lipi=3Durn%3Ali%3Apage%3Aemail_email_series_follo= w_newsletter_02%3BGkgAehB0QyqJ4CLb5%2FY52A%3D%3D&midToken=3DAQHs81gzrEnLQw&= midSig=3D1nms5lwJYUicc1&trk=3Deml-email_series_follow_newsletter_02-null-0-= read_more_banner_cta_&trkEmail=3Deml-email_series_follow_newsletter_02-null= -0-read_more_banner_cta_-null-niwq2c~mn779fq1~lm-null-null&eid=3Dniwq2c-mn7= 79fq1-lm =20 If anything, chunking is getting more attention again. But first, what is c= hunking? and why now? At the simplest level, chunking just means breaking l= ong information into smaller pieces so a system can retrieve and use it mor= e effectively. Instead of treating a whole document as one giant block, the= system splits it into smaller units =E2=80=94 sections, paragraphs, senten= ces, or meaning-based segments =E2=80=94 and those become the pieces it can= search, rank, and pass into the model. That may sound like a small backend= detail. But it turns out to shape something much bigger: what the system c= an actually find how precise retrieval is whether answers feel grounded and= whether the output sounds correct, or just almost correct What changed is = not chunking itself, but the kind of AI systems people are now trying to bu= ild. A few years ago, many use cases were still relatively simple: one prom= pt in, one answer out. Now AI is increasingly expected to work across inter= nal documents, technical manuals, support knowledge bases, meeting transcri= pts, research archives, long PDFs, codebases, and more complex multi-step w= orkflows. Once you move into that world, the question shifts from =E2=80=9C= can the model answer?=E2=80=9D to =E2=80=9Ccan the system reliably retrieve= the right context?=E2=80=9D and that is where chunking starts to matter. T= he part many teams underestimated What many teams underestimated was how mu= ch retrieval quality could be weakened by something as basic as document sp= litting. A system can have strong models, solid embeddings, and a well-desi= gned stack, and still produce mediocre results if the chunks are poorly for= med. Too small, and meaning gets broken apart. Too large, and retrieval get= s noisy. Ignore structure, and the system may retrieve something adjacent t= o the answer rather than the answer itself. In the end, chunking shapes a d= eceptively important question: what context does the model actually receive= ? AI isn=E2=80=99t broken. It just needed an upgrade. LLMs like ChatGPT and= Gemini are powerful =E2=80=94 but limited to what they already know. RAG i= mproves accuracy by retrieving relevant, up-to-date information from extern= al sources and incorporating it into its responses, ensuring answers are bo= th precise and contextually relevant. The result: more accurate responses, = fewer hallucinations, and AI that works with your data. MongoDB Atlas helps= make this possible, storing your data and enabling AI to retrieve the righ= t information based on meaning, not just keywords. =E2=86=92 Start building= RAG applications Why bigger context windows did not =E2=80=9Csolve=E2=80= =9D this This is probably the part I find most interesting. A larger contex= t window helps, but it does not change the core problem: deciding what cont= ext the model should actually see.. In other words, the problem was never j= ust more context. It was better context. That is why chunking is still here= . As systems become more capable, the bottleneck shifts from model intellig= ence to how context is selected and delivered. It is not one technique. It = is a design choice. Another shift is that people are moving away from treat= ing chunking like one fixed setting. It is not just: =E2=80=9CPick 500 toke= ns and move on.=E2=80=9D There are multiple ways to do it, and they reflect= different assumptions about the data. For example: Fixed-size chunking is = simple and fast, but can split ideas in awkward places Sentence or paragrap= h-based chunking keeps natural boundaries better Structure-based chunking w= orks well for documents with clear headers and sections Semantic chunking t= ries to group content by meaning, not just by length More adaptive approach= es try to change chunking logic depending on the content itself That matter= s because different information behaves differently. Technical documentatio= n does not want to be chunked the same way as a conversation transcript. A = policy manual does not behave like a codebase. A research paper does not lo= ok like a customer support log. So chunking is no longer just a preprocessi= ng step people can ignore. It is becoming part of how teams think about ret= rieval quality in the first place. Still juggling 10 tools? Learn AI workfl= ows and replace most of them. Outskill=E2=80=99s 2-Day LIVE AI Mastermind h= elps you build real workflows, automations, and agents to stay ahead. Inclu= des: 16 hours of live training Prompt Bible + AI monetization roadmap Perso= nalized AI toolkit Free for the next 72 hours. =E2=86=92 Start learning now= My final thought: This is not some niche theory. The companies building se= rious retrieval systems increasingly treat chunking as a real design choice= , not just a hidden backend default. OpenAI=E2=80=99s File Search exposes c= hunk size and overlap directly, and Azure has built-in chunking workflows f= or retrieval pipelines. The moment an AI product has to work over your own = documents, records, or knowledge base =E2=80=94 not just what the model alr= eady knows =E2=80=94 chunking becomes one of those layers that directly sha= pes the quality of the experience. But I would not overcomplicate it too ea= rly. For a prototype, simple chunking is often enough. The important thing = is not to assume this layer does not matter. Keep reading on LinkedIn https://www.linkedin.com/comm/pulse/you-underestimated-chunking-probably-bu= ilt-wrong-alex-wang-ly8sc?lipi=3Durn%3Ali%3Apage%3Aemail_email_series_follo= w_newsletter_02%3BGkgAehB0QyqJ4CLb5%2FY52A%3D%3D&midToken=3DAQHs81gzrEnLQw&= midSig=3D1nms5lwJYUicc1&trk=3Deml-email_series_follow_newsletter_02-newslet= ter_content_preview_text-0-readmore_button_&trkEmail=3Deml-email_series_fol= low_newsletter_02-newsletter_content_preview_text-0-readmore_button_-null-n= iwq2c~mn779fq1~lm-null-null&eid=3Dniwq2c-mn779fq1-lm =20 =20 ---------------------------------------- This email was intended for Alvaro Chaveste Jr. (TraceSeis, Inc: Mapping th= e Subsurface with Measured Precision.) 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LinkedIn and the LinkedIn logo are registered trademarks of LinkedIn. ------=_Part_2092362_1066542932.1774513472906 Content-Type: text/html;charset=UTF-8 Content-Transfer-Encoding: quoted-printable Content-ID: html-body <= head> </t= itle> <style> @media (max-width: 512px) { .mercado-container { width: 100% = !important; } } </style> <style> @media (max-width: 480px) { .inline-button, .inline-button tabl= e { display: none !important; } .full-width-button, .full-width-button table { display: table != important; } } @media (max-width: 320px) { .games-notification-badge { display: none !important; } } </style> <style>body {font-family: -apple-system, system-ui, Blin= kMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', 'Fira Sans', Ubuntu, Oxygen, 'Oxygen Sans', Cantarell, 'Droid S= ans', 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Lucida Grande', Helvetica= , Arial, sans-serif;}</style> <!--[if mso]><style type=3D"text/css"> </styl= e><![endif]--> <!--[if IE]><style type=3D"text/css"> </style><![endif]--> <= /head> <body dir=3D"ltr" class=3D"font-sans bg-color-background-canvas w-fu= ll m-0 p-0 pt-1" style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-adj= ust: 100%; margin: 0px; width: 100%; background-color: #f3f2f0; padding: 0p= x; padding-top: 8px; font-family: -apple-system, system-ui, BlinkMacSystemF= ont, 'Segoe UI', Roboto, 'Helvetica Neue', 'Fira Sans', Ubuntu, Oxygen, 'Ox= ygen Sans', Cantarell, 'Droid Sans', 'Apple Color Emoji', 'Segoe UI Emoji',= 'Segoe UI Emoji', 'Segoe UI Symbol', 'Lucida Grande', Helvetica, Arial, sa= ns-serif;"> <div class=3D"h-0 opacity-0 text-transparent invisible overflow= -hidden w-0 max-h-[0]" style=3D"visibility: hidden; height: 0px; max-height= : 0; width: 0px; overflow: hidden; opacity: 0; mso-hide: all;" data-email-p= reheader=3D"true">If anything, chunking is getting more attention again. 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cursor: pointer; display: inline-= block; text-decoration: none; -webkit-text-size-adjust: 100%; -ms-text-size= -adjust: 100%;"> <img class=3D"inline-block relative bg-color-entity-ghost-= background w-6 h-6 rounded-md" src=3D"https://media.licdn.com/dms/image/v2/= D5612AQGP3E54HIZtgA/series-logo_image-shrink_100_100/series-logo_image-shri= nk_100_100/0/1692272681497?e=3D1776297600&v=3Dbeta&t=3D3NTA6vDa087g= Mpak4D5Gebvs9NjcKONrQHoRjDvfIlQ" alt=3D"Open Learn AI Together" style=3D"ou= tline: none; text-decoration: none; -ms-interpolation-mode: bicubic; positi= on: relative; display: inline-block; height: 48px; width: 48px; border-radi= us: 8px; background-color: #eae6df;" width=3D"48" height=3D"48"> </a> </td>= <td valign=3D"top" style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-= adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt;"> <table role= =3D"presentation" valign=3D"top" border=3D"0" cellspacing=3D"0" cellpadding= =3D"0" width=3D"100%" style=3D"-webkit-text-size-adjust: 100%; 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font-size: 16px; font-weight: 600; line-height:= 1.25; color: rgba(0, 0, 0, 0.9);"> Learn AI Together </span> </div> </a> <= /td> </tr> <tr> <td style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-= adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt;"> <a href=3D"ht= tps://www.linkedin.com/comm/newsletters/7091757327418093568?lipi=3Durn%3Ali= %3Apage%3Aemail_email_series_follow_newsletter_02%3BGkgAehB0QyqJ4CLb5%2FY52= A%3D%3D&midToken=3DAQHs81gzrEnLQw&midSig=3D1nms5lwJYUicc1&trk= =3Deml-email_series_follow_newsletter_02-newsletter_entity_lockup-0-newslet= ter_entity_cta&trkEmail=3Deml-email_series_follow_newsletter_02-newslet= ter_entity_lockup-0-newsletter_entity_cta-null-niwq2c~mn779fq1~lm-null-null= &eid=3Dniwq2c-mn779fq1-lm" target=3D"_blank" class=3D"no-underline" sty= le=3D"color: #0a66c2; cursor: pointer; display: inline-block; text-decorati= on: none; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; text-= decoration-line: none;"> <span class=3D"text-xs text-color-text-low-emphasi= s leading-regular" style=3D"font-size: 12px; line-height: 1.25; color: rgba= (0, 0, 0, 0.6);"> Clear explanations of AI, buzzword-free, designed to insp= ire and educate. </span> </a> </td> </tr> </tbody> </table> </td> </tr> </t= body> </table> </td> </tr> <tr data-test-id=3D"newsletter-content-preview">= <td class=3D"px-3 pt-2" style=3D"-webkit-text-size-adjust: 100%; -ms-text-= size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; padding-le= ft: 24px; padding-right: 24px; padding-top: 16px;"> <table role=3D"presenta= tion" valign=3D"top" border=3D"0" cellspacing=3D"0" cellpadding=3D"0" width= =3D"100%" style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 10= 0%; mso-table-lspace: 0pt; mso-table-rspace: 0pt;"> <tbody> <tr> <td class= =3D"overflow-hidden " style=3D"-webkit-text-size-adjust: 100%; -ms-text-siz= e-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; overflow: hid= den;"> <table role=3D"presentation" valign=3D"top" border=3D"0" cellspacing= =3D"0" cellpadding=3D"0" width=3D"100%" style=3D"-webkit-text-size-adjust: = 100%; 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text-decoration: none; -= ms-interpolation-mode: bicubic; display: block; aspect-ratio: 744/400; widt= h: 100%; overflow: hidden; object-fit: cover;"> </a> </td> </tr> <tr> <td c= lass=3D"py-2" style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-adjust= : 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; padding-top: 16px; pa= dding-bottom: 16px;"> <table role=3D"presentation" valign=3D"top" border=3D= "0" cellspacing=3D"0" cellpadding=3D"0" width=3D"100%" style=3D"-webkit-tex= t-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso= -table-rspace: 0pt;"> <tbody> <tr> <td style=3D"-webkit-text-size-adjust: 1= 00%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0= pt;"> <a href=3D"https://www.linkedin.com/comm/pulse/you-underestimated-chu= nking-probably-built-wrong-alex-wang-ly8sc?lipi=3Durn%3Ali%3Apage%3Aemail_e= mail_series_follow_newsletter_02%3BGkgAehB0QyqJ4CLb5%2FY52A%3D%3D&midTo= ken=3DAQHs81gzrEnLQw&midSig=3D1nms5lwJYUicc1&trk=3Deml-email_series= _follow_newsletter_02-newsletter_content_preview-0-title_&trkEmail=3Dem= l-email_series_follow_newsletter_02-newsletter_content_preview-0-title_-nul= l-niwq2c~mn779fq1~lm-null-null&eid=3Dniwq2c-mn779fq1-lm" target=3D"_bla= nk" class=3D"no-underline font-medium text-sm m-0 text-system-gray-90" styl= e=3D"cursor: pointer; 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-ms-text-size-adjust: 100%; margin-left: 8px; text= -decoration-line: none;"> <span class=3D"font-sans font-bold text-sm mb-3 t= ext-color-text-low-emphasis leading-regular" style=3D"margin-bottom: 24px; = font-family: -apple-system, system-ui, BlinkMacSystemFont, 'Segoe UI', Robo= to, 'Helvetica Neue', 'Fira Sans', Ubuntu, Oxygen, 'Oxygen Sans', Cantarell= , 'Droid Sans', 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Emoji', 'S= egoe UI Symbol', 'Lucida Grande', Helvetica, Arial, sans-serif; font-size: = 14px; font-weight: 600; line-height: 1.25; color: rgba(0, 0, 0, 0.6);"> Ale= x Wang </span> </a> </td> </tr> </tbody> </table> </td> </tr> <tr> <td clas= s=3D"pb-1" style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 1= 00%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; padding-bottom: 8px;"> <= div class=3D"p-3 bg-color-surface-tint rounded-md font-sans" data-test-id= =3D"newsletter-cta-banner" style=3D"border-radius: 8px; background-color: #= f5f7f9; padding: 24px; font-family: -apple-system, system-ui, BlinkMacSyste= mFont, 'Segoe UI', Roboto, 'Helvetica Neue', 'Fira Sans', Ubuntu, Oxygen, '= Oxygen Sans', Cantarell, 'Droid Sans', 'Apple Color Emoji', 'Segoe UI Emoji= ', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Lucida Grande', Helvetica, Arial, = sans-serif;"> <div class=3D"mb-1.5" style=3D"margin-bottom: 12px;"> <span c= lass=3D"text-md leading-regular font-bold text-color-text" style=3D"font-si= ze: 16px; font-weight: 600; line-height: 1.25; color: rgba(0, 0, 0, 0.9);">= Read this article on LinkedIn to join the conversation </span> </div> <tab= le role=3D"presentation" valign=3D"top" border=3D"0" cellspacing=3D"0" cell= padding=3D"0" width=3D"100%" class=3D"email-button " data-test-id=3D"email-= button" style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%= ; mso-table-lspace: 0pt; mso-table-rspace: 0pt;"> <tbody> <tr> <td valign= =3D"middle" align=3D"left" style=3D"-webkit-text-size-adjust: 100%; -ms-tex= t-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt;"> <a hre= f=3D"https://www.linkedin.com/comm/pulse/you-underestimated-chunking-probab= ly-built-wrong-alex-wang-ly8sc?lipi=3Durn%3Ali%3Apage%3Aemail_email_series_= follow_newsletter_02%3BGkgAehB0QyqJ4CLb5%2FY52A%3D%3D&midToken=3DAQHs81= gzrEnLQw&midSig=3D1nms5lwJYUicc1&trk=3Deml-email_series_follow_news= letter_02-newsletter_content_preview-0-read_more_banner_cta_&trkEmail= =3Deml-email_series_follow_newsletter_02-newsletter_content_preview-0-read_= more_banner_cta_-null-niwq2c~mn779fq1~lm-null-null&eid=3Dniwq2c-mn779fq= 1-lm" target=3D"_blank" aria-label=3D"Open this article on LinkedIn" class= =3D"align-top no-underline " style=3D"color: #0a66c2; cursor: pointer; disp= lay: inline-block; text-decoration: none; -webkit-text-size-adjust: 100%; -= ms-text-size-adjust: 100%; vertical-align: top; text-decoration-line: none;= "> <table role=3D"presentation" valign=3D"top" border=3D"0" cellspacing=3D"= 0" cellpadding=3D"0" width=3D"auto" class=3D"border-separate " style=3D"-we= bkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: = 0pt; mso-table-rspace: 0pt; border-collapse: separate;"> <tbody> <tr> <td c= lass=3D"btn-sm btn-primary border-color-brand button-link leading-regular != min-h-[auto] !shadow-none border-1 border-solid" style=3D"-webkit-text-size= -adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table= -rspace: 0pt; height: min-content; border-radius: 24px; padding-top: 7px; p= adding-bottom: 7px; padding-left: 16px; padding-right: 16px; text-align: ce= nter; font-size: 14px; font-weight: 600; cursor: pointer; text-decoration-l= ine: none; background-color: #0a66c2; color: #ffffff; border-width: 1px; bo= rder-style: solid; border-color: #0a66c2; line-height: 1.25; min-height: au= to !important; box-shadow: 0 0 #0000, 0 0 #0000, 0 0 #0000 !important;"> <a= href=3D"https://www.linkedin.com/comm/pulse/you-underestimated-chunking-pr= obably-built-wrong-alex-wang-ly8sc?lipi=3Durn%3Ali%3Apage%3Aemail_email_ser= ies_follow_newsletter_02%3BGkgAehB0QyqJ4CLb5%2FY52A%3D%3D&midToken=3DAQ= Hs81gzrEnLQw&midSig=3D1nms5lwJYUicc1&trk=3Deml-email_series_follow_= newsletter_02-newsletter_content_preview-0-read_more_banner_cta_&trkEma= il=3Deml-email_series_follow_newsletter_02-newsletter_content_preview-0-rea= d_more_banner_cta_-null-niwq2c~mn779fq1~lm-null-null&eid=3Dniwq2c-mn779= fq1-lm" target=3D"_blank" tabindex=3D"-1" aria-hidden=3D"true" class=3D"no-= underline" style=3D"color: #0a66c2; cursor: pointer; display: inline-block;= text-decoration: none; -webkit-text-size-adjust: 100%; -ms-text-size-adjus= t: 100%; text-decoration-line: none;"> <span class=3D"no-underline text-whi= te" style=3D"color: #ffffff; text-decoration-line: none;"> Read on LinkedIn= </span> </a> </td> </tr> </tbody> </table> </a> </td> </tr> </tbody> </tab= le> </div> </td> </tr> <tr data-test-id=3D"newsletter-content-preview--cont= ent"> <td class=3D"font-sans text-md leading-open text-system-gray-90" styl= e=3D"-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-= lspace: 0pt; mso-table-rspace: 0pt; font-family: -apple-system, system-ui, = BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', 'Fira Sans', Ubun= tu, Oxygen, 'Oxygen Sans', Cantarell, 'Droid Sans', 'Apple Color Emoji', 'S= egoe UI Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Lucida Grande', Helve= tica, Arial, sans-serif; font-size: 16px; line-height: 1.5; color: #282828;= "> <div data-test-id=3D"publishing-text-block"> <p class=3D"m-0 mt-1.5 text= -md leading-open" style=3D"font-weight: 400; margin: 0px; margin-top: 12px;= font-size: 16px; line-height: 1.5;"> <span class data-test-id=3D"little-te= xt-block">If anything, chunking is getting more attention again.</span> </p= > </div> <div data-test-id=3D"publishing-text-block"> <p class=3D"m-0 mt-1.= 5 text-md leading-open" style=3D"font-weight: 400; margin: 0px; margin-top:= 12px; font-size: 16px; line-height: 1.5;"> <span class data-test-id=3D"lit= tle-text-block">But first, what is chunking? and why now?</span> </p> </div= > <div data-test-id=3D"publishing-text-block"> <p class=3D"m-0 mt-1.5 text-= md leading-open" style=3D"font-weight: 400; margin: 0px; margin-top: 12px; = font-size: 16px; line-height: 1.5;"> <span class data-test-id=3D"little-tex= t-block">At the simplest level, chunking just means </span><span class=3D"f= ont-[700]" data-test-id=3D"little-text-block" style=3D"font-weight: 700;">b= reaking long information into smaller pieces</span><span class data-test-id= =3D"little-text-block"> so a system can retrieve and use it more effectivel= y.</span> </p> </div> <div data-test-id=3D"publishing-text-block"> <p class= =3D"m-0 mt-1.5 text-md leading-open" style=3D"font-weight: 400; margin: 0px= ; margin-top: 12px; font-size: 16px; line-height: 1.5;"> <span class data-t= est-id=3D"little-text-block">Instead of treating a whole document as one gi= ant block, the system splits it into smaller units =E2=80=94 sections, para= graphs, sentences, or meaning-based segments =E2=80=94 and those become the= pieces it can search, rank, and pass into the model.</span> </p> </div> <d= iv data-test-id=3D"publishing-text-block"> <p class=3D"m-0 mt-1.5 text-md l= eading-open" style=3D"font-weight: 400; margin: 0px; margin-top: 12px; font= -size: 16px; line-height: 1.5;"> <span class data-test-id=3D"little-text-bl= ock">That may sound like a small backend detail.</span> </p> </div> <div da= ta-test-id=3D"publishing-text-block"> <p class=3D"m-0 mt-1.5 text-md leadin= g-open" style=3D"font-weight: 400; margin: 0px; margin-top: 12px; font-size= : 16px; line-height: 1.5;"> <span class data-test-id=3D"little-text-block">= But it turns out to shape something much bigger:</span> </p> </div> <div da= ta-test-id=3D"publishing-text-block"> <p class=3D"m-0 mt-1.5 text-md leadin= g-open" style=3D"font-weight: 400; margin: 0px; margin-top: 12px; font-size= : 16px; line-height: 1.5;"> <span class data-test-id=3D"little-text-block">= <ul class=3D"block mt-2 mr-0 ml-3 p-0" data-test-id=3D"little-template-lis= t-unordered" style=3D"margin-left: 24px; margin-right: 0px; margin-top: 16p= x; display: block; padding: 0px;"> <li class=3D"mt-1.5 ml-2 text-md leading= -open text-system-gray-90" style=3D"margin-left: 16px; margin-top: 12px; fo= nt-size: 16px; line-height: 1.5; color: #282828;"> <span class data-test-id= =3D"little-text-block">what the system can actually find</span> </li> <li c= lass=3D"mt-1.5 ml-2 text-md leading-open text-system-gray-90" style=3D"marg= in-left: 16px; margin-top: 12px; font-size: 16px; line-height: 1.5; color: = #282828;"> <span class data-test-id=3D"little-text-block">how precise retri= eval is</span> </li> <li class=3D"mt-1.5 ml-2 text-md leading-open text-sys= tem-gray-90" style=3D"margin-left: 16px; margin-top: 12px; font-size: 16px;= line-height: 1.5; color: #282828;"> <span class data-test-id=3D"little-tex= t-block">whether answers feel grounded</span> </li> <li class=3D"mt-1.5 ml-= 2 text-md leading-open text-system-gray-90" style=3D"margin-left: 16px; mar= gin-top: 12px; font-size: 16px; line-height: 1.5; color: #282828;"> <span c= lass data-test-id=3D"little-text-block">and whether the output sounds corre= ct, or just </span><span class=3D"italic" data-test-id=3D"little-text-block= " style=3D"font-style: italic;">almost</span><span class data-test-id=3D"li= ttle-text-block"> correct</span> </li> </ul> </span> </p> </div> <div data-= test-id=3D"publishing-text-block"> <p class=3D"m-0 mt-1.5 text-md leading-o= pen" style=3D"font-weight: 400; margin: 0px; margin-top: 12px; font-size: 1= 6px; line-height: 1.5;"> <span class data-test-id=3D"little-text-block">Wha= t changed is not chunking itself, but the kind of AI systems people are now= trying to build. A few years ago, many use cases were still relatively sim= ple: one prompt in, one answer out.</span> </p> </div> <div data-test-id=3D= "publishing-text-block"> <p class=3D"m-0 mt-1.5 text-md leading-open" style= =3D"font-weight: 400; margin: 0px; margin-top: 12px; font-size: 16px; line-= height: 1.5;"> <span class data-test-id=3D"little-text-block">Now AI is inc= reasingly expected to work across internal documents, technical manuals, su= pport knowledge bases, meeting transcripts, research archives, long PDFs, c= odebases, and more complex multi-step workflows. </span> </p> </div> <div d= ata-test-id=3D"publishing-text-block"> <p class=3D"m-0 mt-1.5 text-md leadi= ng-open" style=3D"font-weight: 400; margin: 0px; margin-top: 12px; font-siz= e: 16px; line-height: 1.5;"> <span class data-test-id=3D"little-text-block"= >Once you move into that world, the question shifts from =E2=80=9Ccan the m= odel answer?=E2=80=9D to =E2=80=9Ccan the system reliably retrieve the righ= t context?=E2=80=9D and that is where chunking starts to matter.</span> </p= > </div> <div data-test-id=3D"publishing-text-block"> <h3 class=3D"m-0 text= -md text-system-gray-90 pt-1 pb-0.5 leading-regular font-bold" data-test-id= =3D"publishing-text-block-h2" style=3D"margin: 0px; padding-bottom: 4px; pa= dding-top: 8px; font-size: 16px; font-weight: 600; line-height: 1.25; color= : #282828;"> <span class data-test-id=3D"little-text-block">The part many t= eams underestimated</span> </h3> </div> <div data-test-id=3D"publishing-tex= t-block"> <p class=3D"m-0 mt-1.5 text-md leading-open" style=3D"font-weight= : 400; margin: 0px; margin-top: 12px; font-size: 16px; line-height: 1.5;"> = <span class data-test-id=3D"little-text-block">What many teams underestimat= ed was how much retrieval quality could be weakened by something as basic a= s document splitting. A system can have strong models, solid embeddings, an= d a well-designed stack, and still produce mediocre results if the chunks a= re poorly formed. </span> </p> </div> <span>...</span> </td> </tr> <tr> <td= class=3D"pt-2 no-underline" style=3D"-webkit-text-size-adjust: 100%; -ms-t= ext-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; paddin= g-top: 16px; text-decoration-line: none;"> <table role=3D"presentation" val= ign=3D"top" border=3D"0" cellspacing=3D"0" cellpadding=3D"0" width=3D"100%"= class=3D"email-button series-content-preview__bottom-cta" data-test-id=3D"= email-button" style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-adjust= : 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt;"> <tbody> <tr> <td va= lign=3D"middle" align=3D"left" style=3D"-webkit-text-size-adjust: 100%; -ms= -text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt;"> <a= href=3D"https://www.linkedin.com/comm/pulse/you-underestimated-chunking-pr= obably-built-wrong-alex-wang-ly8sc?lipi=3Durn%3Ali%3Apage%3Aemail_email_ser= ies_follow_newsletter_02%3BGkgAehB0QyqJ4CLb5%2FY52A%3D%3D&midToken=3DAQ= Hs81gzrEnLQw&midSig=3D1nms5lwJYUicc1&trk=3Deml-email_series_follow_= newsletter_02-newsletter_content_preview-0-readmore_button_&trkEmail=3D= eml-email_series_follow_newsletter_02-newsletter_content_preview-0-readmore= _button_-null-niwq2c~mn779fq1~lm-null-null&eid=3Dniwq2c-mn779fq1-lm" ta= rget=3D"_blank" aria-label=3D"Open Learn AI Together on LinkedIn" class=3D"= align-top no-underline " style=3D"color: #0a66c2; cursor: pointer; display:= inline-block; text-decoration: none; -webkit-text-size-adjust: 100%; -ms-t= ext-size-adjust: 100%; vertical-align: top; text-decoration-line: none; wid= th: 100%;"> <table role=3D"presentation" valign=3D"top" border=3D"0" cellsp= acing=3D"0" cellpadding=3D"0" width=3D"100%" class=3D"border-separate " sty= le=3D"-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table= -lspace: 0pt; mso-table-rspace: 0pt; border-collapse: separate; width: 100%= ;"> <tbody> <tr> <td class=3D"btn-md btn-secondary-emphasis border-color-br= and button-link leading-regular !min-h-[auto] !shadow-none border-1 border-= solid font-sans" data-test-id=3D"newsletter-content-preview-redesign-bottom= -cta" style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; = mso-table-lspace: 0pt; mso-table-rspace: 0pt; height: min-content; border-r= adius: 24px; padding-top: 12px; padding-bottom: 12px; padding-left: 24px; p= adding-right: 24px; text-align: center; font-size: 16px; font-weight: 600; = cursor: pointer; text-decoration-line: none; background-color: rgba(0, 0, 0= , 0); color: #0a66c2; border-width: 1px; border-style: solid; border-color:= #0a66c2; font-family: -apple-system, system-ui, BlinkMacSystemFont, 'Segoe= UI', Roboto, 'Helvetica Neue', 'Fira Sans', Ubuntu, Oxygen, 'Oxygen Sans',= Cantarell, 'Droid Sans', 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI = Emoji', 'Segoe UI Symbol', 'Lucida Grande', Helvetica, Arial, sans-serif; l= ine-height: 1.25; min-height: auto !important; box-shadow: 0 0 #0000, 0 0 #= 0000, 0 0 #0000 !important;"> <a href=3D"https://www.linkedin.com/comm/puls= e/you-underestimated-chunking-probably-built-wrong-alex-wang-ly8sc?lipi=3Du= rn%3Ali%3Apage%3Aemail_email_series_follow_newsletter_02%3BGkgAehB0QyqJ4CLb= 5%2FY52A%3D%3D&midToken=3DAQHs81gzrEnLQw&midSig=3D1nms5lwJYUicc1&am= p;trk=3Deml-email_series_follow_newsletter_02-newsletter_content_preview-0-= readmore_button_&trkEmail=3Deml-email_series_follow_newsletter_02-newsl= etter_content_preview-0-readmore_button_-null-niwq2c~mn779fq1~lm-null-null&= amp;eid=3Dniwq2c-mn779fq1-lm" target=3D"_blank" tabindex=3D"-1" aria-hidden= =3D"true" class=3D"no-underline" style=3D"color: #0a66c2; cursor: pointer; = display: inline-block; text-decoration: none; -webkit-text-size-adjust: 100= %; -ms-text-size-adjust: 100%; text-decoration-line: none; width: 100%;"> <= span class=3D"no-underline text-color-brand" style=3D"color: #0a66c2; text-= decoration-line: none;"> Keep reading on LinkedIn </span> </a> </td> </tr> = </tbody> </table> </a> </td> </tr> </tbody> </table> </td> </tr> </tbody> <= /table> </td> </tr> </tbody> </table> </td> </tr> </tbody> </table> </td> <= /tr> </tbody> </table> </div> </td> </tr> <tr> <td class=3D"bg-color-backgr= ound-canvas p-3" style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-adj= ust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; background-color: = #f3f2f0; padding: 24px;"> <table role=3D"presentation" valign=3D"top" borde= r=3D"0" cellspacing=3D"0" cellpadding=3D"0" width=3D"100%" class=3D"text-xs= " style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-= table-lspace: 0pt; mso-table-rspace: 0pt; font-size: 12px;"> <tbody> <tr> <= td class=3D"pb-1 m-0" data-test-id=3D"email-footer__intended" style=3D"-web= kit-text-size-adjust: 100%; 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