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381 lines
22 KiB
HTML
381 lines
22 KiB
HTML
<div class="vectors_settings">
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<div class="inline-drawer">
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<div class="inline-drawer-toggle inline-drawer-header">
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<b>Vector Storage</b>
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<div class="inline-drawer-icon fa-solid fa-circle-chevron-down down"></div>
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</div>
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<div class="inline-drawer-content">
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<div class="flex-container flexFlowColumn">
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<label for="vectors_source">
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Vectorization Source
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</label>
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<select id="vectors_source" class="text_pole">
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<option value="cohere">Cohere</option>
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<option value="extras">Extras</option>
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<option value="palm">Google MakerSuite</option>
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<option value="llamacpp">llama.cpp</option>
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<option value="transformers">Local (Transformers)</option>
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<option value="mistral">MistralAI</option>
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<option value="nomicai">NomicAI</option>
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<option value="ollama">Ollama</option>
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<option value="openai">OpenAI</option>
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<option value="togetherai">TogetherAI</option>
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</select>
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</div>
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<div class="flex-container flexFlowColumn" id="ollama_vectorsModel">
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<label for="vectors_ollama_model">
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Vectorization Model
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</label>
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<input id="vectors_ollama_model" class="text_pole" type="text" placeholder="Model tag, e.g. llama3" />
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<label for="vectors_ollama_keep" class="checkbox_label" title="When checked, the model will not be unloaded after use.">
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<input id="vectors_ollama_keep" type="checkbox" />
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<span>Keep model in memory</span>
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</label>
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<i>
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Hint: Download models and set the URL in the API connection settings.
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</i>
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</div>
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<div class="flex-container flexFlowColumn" id="llamacpp_vectorsModel">
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<span>
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The server MUST be started with the <code>--embedding</code> flag to use this feature!
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</span>
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<i>
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Hint: Set the URL in the API connection settings.
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</i>
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</div>
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<div class="flex-container flexFlowColumn" id="openai_vectorsModel">
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<label for="vectors_openai_model">
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Vectorization Model
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</label>
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<select id="vectors_openai_model" class="text_pole">
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<option value="text-embedding-ada-002">text-embedding-ada-002</option>
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<option value="text-embedding-3-small">text-embedding-3-small</option>
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<option value="text-embedding-3-large">text-embedding-3-large</option>
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</select>
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</div>
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<div class="flex-container flexFlowColumn" id="cohere_vectorsModel">
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<label for="vectors_cohere_model">
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Vectorization Model
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</label>
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<select id="vectors_cohere_model" class="text_pole">
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<option value="embed-english-v3.0">embed-english-v3.0</option>
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<option value="embed-multilingual-v3.0">embed-multilingual-v3.0</option>
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<option value="embed-english-light-v3.0">embed-english-light-v3.0</option>
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<option value="embed-multilingual-light-v3.0">embed-multilingual-light-v3.0</option>
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<option value="embed-english-v2.0">embed-english-v2.0</option>
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<option value="embed-english-light-v2.0">embed-english-light-v2.0</option>
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<option value="embed-multilingual-v2.0">embed-multilingual-v2.0</option>
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</select>
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</div>
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<div class="flex-container flexFlowColumn" id="together_vectorsModel">
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<label for="vectors_togetherai_model">
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Vectorization Model
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</label>
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<select id="vectors_togetherai_model" class="text_pole">
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<option value="togethercomputer/m2-bert-80M-32k-retrieval">M2-BERT-Retrieval-32k</option>
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<option value="togethercomputer/m2-bert-80M-8k-retrieval">M2-BERT-Retrieval-8k</option>
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<option value="togethercomputer/m2-bert-80M-2k-retrieval">M2-BERT-Retrieval-2K</option>
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<option value="WhereIsAI/UAE-Large-V1">UAE-Large-V1</option>
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<option value="BAAI/bge-large-en-v1.5">BAAI-Bge-Large-1p5</option>
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<option value="BAAI/bge-base-en-v1.5">BAAI-Bge-Base-1p5</option>
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<option value="sentence-transformers/msmarco-bert-base-dot-v5">Sentence-BERT</option>
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<option value="bert-base-uncased">Bert Base Uncased</option>
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</select>
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</div>
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<small id="vectors_modelWarning">
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<i class="fa-solid fa-exclamation-triangle"></i>
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<span data-i18n="Vectors Model Warning">
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It is recommended to purge vectors when changing the model mid-chat. Otherwise, it will lead to sub-par results.
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</span>
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</small>
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<div class="flex-container flexFlowColumn" id="nomicai_apiKey">
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<label for="api_key_nomicai">
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<span>NomicAI API Key</span>
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</label>
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<div class="flex-container">
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<input id="api_key_nomicai" name="api_key_nomicai" class="text_pole flex1 wide100p" maxlength="500" size="35" type="text" autocomplete="off">
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<div title="Clear your API key" class="menu_button fa-solid fa-circle-xmark clear-api-key" data-key="api_key_nomicai">
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</div>
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</div>
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<div data-for="api_key_nomicai" class="neutral_warning" data-i18n="For privacy reasons, your API key will be hidden after you reload the page.">
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For privacy reasons, your API key will be hidden after you reload the page.
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</div>
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</div>
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<div class="flex-container marginTopBot5">
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<div class="flex-container flex1 flexFlowColumn" title="How many last messages will be matched for relevance.">
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<label for="vectors_query">
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<span>Query messages</span>
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</label>
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<input type="number" id="vectors_query" class="text_pole widthUnset" min="1" max="99" />
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</div>
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<div class="flex-container flex1 flexFlowColumn" title="Cut-off score for relevance. Helps to filter out irrelevant data.">
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<label for="vectors_query">
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<span>Score threshold</span>
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</label>
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<input type="number" id="vectors_score_threshold" class="text_pole widthUnset" min="0" max="1" step="0.05" />
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</div>
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</div>
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<div class="flex-container">
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<label class="checkbox_label expander" for="vectors_include_wi" title="Query results can activate World Info entries.">
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<input id="vectors_include_wi" type="checkbox" class="checkbox">
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Include in World Info Scanning
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</label>
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</div>
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<hr>
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<h4>
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World Info settings
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</h4>
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<label class="checkbox_label" for="vectors_enabled_world_info" title="Enable activation of World Info entries based on vector similarity.">
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<input id="vectors_enabled_world_info" type="checkbox" class="checkbox">
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Enabled for World Info
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</label>
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<div id="vectors_world_info_settings" class="marginTopBot5">
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<div class="flex-container">
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<label for="vectors_enabled_for_all" class="checkbox_label">
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<input id="vectors_enabled_for_all" type="checkbox" />
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<span>Enabled for all entries</span>
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</label>
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<ul class="margin0">
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<li>
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<small>Checked: all entries except ❌ status can be activated.</small>
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</li>
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<li>
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<small>Unchecked: only entries with 🔗 status can be activated.</small>
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</li>
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</ul>
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</div>
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<div class="flex-container">
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<div class="flex1">
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<!-- Vacant for future use -->
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</div>
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<div class="flex1" title="Maximum number of entries to be activated">
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<label for="vectors_max_entries" >
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<small>Max Entries</small>
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</label>
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<input id="vectors_max_entries" type="number" class="text_pole widthUnset" min="1" max="9999" />
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</div>
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<div class="flex1">
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<!-- Vacant for future use -->
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</div>
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</div>
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</div>
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<h4>
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File vectorization settings
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</h4>
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<label class="checkbox_label" for="vectors_enabled_files">
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<input id="vectors_enabled_files" type="checkbox" class="checkbox">
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Enabled for files
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</label>
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<div id="vectors_files_settings" class="marginTopBot5">
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<label class="checkbox_label" for="vectors_translate_files" title="This can help with retrieval accuracy if using embedding models that are trained on English data. Uses the selected API from Chat Translation extension settings.">
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<input id="vectors_translate_files" type="checkbox" class="checkbox">
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<span data-i18n="Translate files into English before processing">
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Translate files into English before processing
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</span>
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<i class="fa-solid fa-flask" title="Experimental feature"></i>
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</label>
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<div class="flex justifyCenter" title="These settings apply to files attached directly to messages.">
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<span>Message attachments</span>
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</div>
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<div class="flex-container">
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<div class="flex1" title="Only files past this size will be vectorized.">
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<label for="vectors_size_threshold">
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<small>Size threshold (KB)</small>
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</label>
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<input id="vectors_size_threshold" type="number" class="text_pole widthUnset" min="1" max="99999" />
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</div>
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<div class="flex1" title="Chunk size for file splitting.">
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<label for="vectors_chunk_size">
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<small>Chunk size (chars)</small>
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</label>
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<input id="vectors_chunk_size" type="number" class="text_pole widthUnset" min="1" max="99999" />
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</div>
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<div class="flex1" title="How many chunks to retrieve when querying.">
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<label for="vectors_chunk_count">
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<small>Retrieve chunks</small>
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</label>
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<input id="vectors_chunk_count" type="number" class="text_pole widthUnset" min="1" max="99999" />
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</div>
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</div>
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<div class="flex justifyCenter" title="These settings apply to files stored in the Data Bank.">
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<span>Data Bank files</span>
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</div>
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<div class="flex-container">
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<div class="flex1" title="Only files past this size will be vectorized.">
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<label for="vectors_size_threshold_db">
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<small>Size threshold (KB)</small>
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</label>
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<input id="vectors_size_threshold_db" type="number" class="text_pole widthUnset" min="1" max="99999" />
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</div>
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<div class="flex1" title="Chunk size for file splitting.">
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<label for="vectors_chunk_size_db">
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<small>Chunk size (chars)</small>
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</label>
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<input id="vectors_chunk_size_db" type="number" class="text_pole widthUnset" min="1" max="99999" />
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</div>
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<div class="flex1" title="How many chunks to retrieve when querying.">
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<label for="vectors_chunk_count_db">
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<small>Retrieve chunks</small>
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</label>
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<input id="vectors_chunk_count_db" type="number" class="text_pole widthUnset" min="1" max="99999" />
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</div>
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</div>
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<div class="flex-container flexFlowColumn">
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<label for="vectors_file_template_db">
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<span>Injection Template</span>
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</label>
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<textarea id="vectors_file_template_db" class="margin0 text_pole textarea_compact" rows="3" placeholder="Use {{text}} macro to specify the position of retrieved text."></textarea>
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<label for="vectors_file_position_db">Injection Position</label>
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<div class="radio_group">
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<label>
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<input type="radio" name="vectors_file_position_db" value="2" />
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<span>Before Main Prompt / Story String</span>
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</label>
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<!--Keep these as 0 and 1 to interface with the setExtensionPrompt function-->
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<label>
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<input type="radio" name="vectors_file_position_db" value="0" />
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<span>After Main Prompt / Story String</span>
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</label>
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<label for="vectors_file_depth_db" title="How many messages before the current end of the chat." data-i18n="[title]How many messages before the current end of the chat.">
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<input type="radio" name="vectors_file_position_db" value="1" />
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<span>In-chat @ Depth</span>
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<input id="vectors_file_depth_db" class="text_pole widthUnset" type="number" min="0" max="999" />
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<span>as</span>
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<select id="vectors_file_depth_role_db" class="text_pole widthNatural">
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<option value="0">System</option>
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<option value="1">User</option>
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<option value="2">Assistant</option>
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</select>
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</label>
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</div>
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</div>
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<div class="flex-container">
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<div id="vectors_files_vectorize_all" class="menu_button menu_button_icon" title="Vectorize all files in the Data Bank and current chat.">
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Vectorize All
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</div>
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<div id="vectors_files_purge" class="menu_button menu_button_icon" title="Purge all file vectors in the Data Bank and current chat.">
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Purge Vectors
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</div>
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</div>
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</div>
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<hr>
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<h4>
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Chat vectorization settings
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</h4>
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<label class="checkbox_label" for="vectors_enabled_chats">
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<input id="vectors_enabled_chats" type="checkbox" class="checkbox">
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Enabled for chat messages
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</label>
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<hr>
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<div id="vectors_chats_settings">
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<div id="vectors_advanced_settings">
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<label for="vectors_template">
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Injection Template
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</label>
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<textarea id="vectors_template" class="text_pole textarea_compact" rows="3" placeholder="Use {{text}} macro to specify the position of retrieved text."></textarea>
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<label for="vectors_position">Injection Position</label>
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<div class="radio_group">
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<label>
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<input type="radio" name="vectors_position" value="2" />
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Before Main Prompt / Story String
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</label>
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<!--Keep these as 0 and 1 to interface with the setExtensionPrompt function-->
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<label>
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<input type="radio" name="vectors_position" value="0" />
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After Main Prompt / Story String
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</label>
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<label for="vectors_depth" title="How many messages before the current end of the chat." data-i18n="[title]How many messages before the current end of the chat.">
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<input type="radio" name="vectors_position" value="1" />
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In-chat @ Depth <input id="vectors_depth" class="text_pole widthUnset" type="number" min="0" max="999" />
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</label>
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</div>
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<div class="flex-container">
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<div class="flex1" title="Can increase the retrieval quality for the cost of processing. 0 = disabled.">
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<label for="vectors_message_chunk_size">
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<small>Chunk size (chars)</small>
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</label>
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<input id="vectors_message_chunk_size" type="number" class="text_pole widthUnset" min="0" max="9999" />
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</div>
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<div class="flex1" title="Prevents last N messages from being placed out of order.">
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<label for="vectors_protect">
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<small>Retain#</small>
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</label>
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<input type="number" id="vectors_protect" class="text_pole widthUnset" min="1" max="9999" />
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</div>
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<div class="flex1" title="How many past messages to insert as memories.">
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<label for="vectors_insert">
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<small>Insert#</small>
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</label>
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<input type="number" id="vectors_insert" class="text_pole widthUnset" min="1" max="9999" />
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</div>
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</div>
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<hr class="m-b-1">
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<div class="flex-container flexFlowColumn">
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<div class="flex-container alignitemscenter justifyCenter">
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<i class="fa-solid fa-flask" title="Summarization for vectors is an experimental feature that may improve vectors or may worsen them. Use at your own discretion."></i>
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<span>Vector Summarization</span>
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</div>
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<label class="checkbox_label expander" for="vectors_summarize" title="Summarize chat messages before generating embeddings.">
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<input id="vectors_summarize" type="checkbox" class="checkbox">
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Summarize chat messages for vector generation
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</label>
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<i class="failure">Warning: This will slow down vector generation drastically, as all messages have to be summarized first.</i>
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<label class="checkbox_label expander" for="vectors_summarize_user" title="Summarize sent chat messages before generating embeddings.">
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<input id="vectors_summarize_user" type="checkbox" class="checkbox">
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Summarize chat messages when sending
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</label>
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<i class="failure">Warning: This might cause your sent messages to take a bit to process and slow down response time.</i>
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<label for="vectors_summary_source">Summarize with:</label>
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<select id="vectors_summary_source" class="text_pole">
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<option value="main">Main API</option>
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<option value="extras">Extras API</option>
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</select>
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<label for="vectors_summary_prompt">Summary Prompt:</label>
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<small>Only used when Main API is selected.</small>
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<textarea id="vectors_summary_prompt" class="text_pole textarea_compact" rows="6" placeholder="This prompt will be sent to AI to request the summary generation."></textarea>
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</div>
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</div>
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<small>
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Old messages are vectorized gradually as you chat.
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To process all previous messages, click the button below.
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</small>
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<div class="flex-container">
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<div id="vectors_vectorize_all" class="menu_button menu_button_icon">
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Vectorize All
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</div>
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<div id="vectors_purge" class="menu_button menu_button_icon">
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Purge Vectors
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</div>
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<div id="vectors_view_stats" class="menu_button menu_button_icon">
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View Stats
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</div>
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</div>
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<div id="vectorize_progress" style="display: none;">
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<small>
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Processed <span id="vectorize_progress_percent">0</span>% of messages.
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ETA: <span id="vectorize_progress_eta">...</span> seconds.
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</small>
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</div>
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</div>
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</div>
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</div>
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</div>
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