https://wiki.grooper.com/index.php?action=history&feed=atom&title=AI_Collection_Reader 2026-04-30T13:12:17Z Revision history for this page on the wiki MediaWiki 1.42.3 https://wiki.grooper.com/index.php?title=AI_Collection_Reader&diff=30933&oldid=prev 2025-09-09T18:20:39Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 13:20, 9 September 2025</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>{{stubs}}</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>{{stubs}}</div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">The following is a placeholder taking from the Grooper Release Notes. More information on this topic can be found on your Grooper install's Help page.</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>AI Collection Reader: New LLM-enabled Section Extract Method</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>AI Collection Reader: New LLM-enabled Section Extract Method</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* For AI-powered multi-instance section extraction (repeating records in a document).</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* For AI-powered multi-instance section extraction (repeating records in a document).</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* While it is also possible to extract multi-instance Data Sections using the AI Extract fill method, AI Collection Reader has some improvements. AI Collection Reader is optimized for processing large multi-page documents. It allows documents to be broken up into chunks to both (1) avoid exceeding context length restrictions imposed by LLMs and (2) process each chunk in parallel for faster execution.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* While it is also possible to extract multi-instance Data Sections using the AI Extract fill method, AI Collection Reader has some improvements. AI Collection Reader is optimized for processing large multi-page documents. It allows documents to be broken up into chunks to both (1) avoid exceeding context length restrictions imposed by LLMs and (2) process each chunk in parallel for faster execution.</div></td></tr> </table>

Dgreenwood https://wiki.grooper.com/index.php?title=AI_Collection_Reader&diff=30930&oldid=prev 2025-09-09T18:15:34Z

<p>Created page with &quot;{{stubs}} AI Collection Reader: New LLM-enabled Section Extract Method * For AI-powered multi-instance section extraction (repeating records in a document). * While it is also possible to extract multi-instance Data Sections using the AI Extract fill method, AI Collection Reader has some improvements. AI Collection Reader is optimized for processing large multi-page documents. It allows documents to be broken up into chunks to both (1) avoid exceeding context length res...&quot;</p> <p><b>New page</b></p><div>{{stubs}}<br /> <br /> AI Collection Reader: New LLM-enabled Section Extract Method<br /> * For AI-powered multi-instance section extraction (repeating records in a document).<br /> * While it is also possible to extract multi-instance Data Sections using the AI Extract fill method, AI Collection Reader has some improvements. AI Collection Reader is optimized for processing large multi-page documents. It allows documents to be broken up into chunks to both (1) avoid exceeding context length restrictions imposed by LLMs and (2) process each chunk in parallel for faster execution.</div>

Dgreenwood