diff --git a/public/scripts/extensions/vectors/index.js b/public/scripts/extensions/vectors/index.js
index b857998ae..ef13de22a 100644
--- a/public/scripts/extensions/vectors/index.js
+++ b/public/scripts/extensions/vectors/index.js
@@ -12,6 +12,7 @@ const settings = {
     // For both
     source: 'transformers',
     include_wi: false,
+    model: 'togethercomputer/m2-bert-80M-32k-retrieval',
 
     // For chats
     enabled_chats: false,
@@ -440,6 +441,17 @@ function addExtrasHeaders(headers) {
     });
 }
 
+/**
+ * Add headers for the Extras API source.
+ * @param {object} headers Headers object
+ */
+function addTogetherAiHeaders(headers) {
+    Object.assign(headers, {
+        'X-Togetherai-Model': extension_settings.vectors.model,
+    });
+}
+
+
 /**
  * Inserts vector items into a collection
  * @param {string} collectionId - The collection to insert into
@@ -449,7 +461,8 @@ function addExtrasHeaders(headers) {
 async function insertVectorItems(collectionId, items) {
     if (settings.source === 'openai' && !secret_state[SECRET_KEYS.OPENAI] ||
         settings.source === 'palm' && !secret_state[SECRET_KEYS.MAKERSUITE] ||
-        settings.source === 'mistral' && !secret_state[SECRET_KEYS.MISTRALAI]) {
+        settings.source === 'mistral' && !secret_state[SECRET_KEYS.MISTRALAI] ||
+        settings.source === 'togetherai' && !secret_state[SECRET_KEYS.TOGETHERAI]) {
         throw new Error('Vectors: API key missing', { cause: 'api_key_missing' });
     }
 
@@ -460,6 +473,8 @@ async function insertVectorItems(collectionId, items) {
     const headers = getRequestHeaders();
     if (settings.source === 'extras') {
         addExtrasHeaders(headers);
+    } else if (settings.source === 'togetherai') {
+        addTogetherAiHeaders(headers);
     }
 
     const response = await fetch('/api/vector/insert', {
@@ -509,6 +524,8 @@ async function queryCollection(collectionId, searchText, topK) {
     const headers = getRequestHeaders();
     if (settings.source === 'extras') {
         addExtrasHeaders(headers);
+    } else if (settings.source === 'togetherai') {
+        addTogetherAiHeaders(headers);
     }
 
     const response = await fetch('/api/vector/query', {
@@ -526,8 +543,7 @@ async function queryCollection(collectionId, searchText, topK) {
         throw new Error(`Failed to query collection ${collectionId}`);
     }
 
-    const results = await response.json();
-    return results;
+    return await response.json();
 }
 
 /**
@@ -617,6 +633,13 @@ jQuery(async () => {
     }
 
     Object.assign(settings, extension_settings.vectors);
+
+    if (settings.source === 'togetherai') {
+        $('#vectorsModel').show();
+    } else {
+        $('#vectorsModel').hide();
+    }
+
     // Migrate from TensorFlow to Transformers
     settings.source = settings.source !== 'local' ? settings.source : 'transformers';
     $('#extensions_settings2').append(renderExtensionTemplate(MODULE_NAME, 'settings'));
@@ -634,6 +657,17 @@ jQuery(async () => {
     });
     $('#vectors_source').val(settings.source).on('change', () => {
         settings.source = String($('#vectors_source').val());
+        if (settings.source === 'togetherai') {
+            $('#vectorsModel').show();
+        } else {
+            $('#vectorsModel').hide();
+        }
+        Object.assign(extension_settings.vectors, settings);
+        saveSettingsDebounced();
+    });
+
+    $('#vectors_model').val(settings.model).on('change', () => {
+        settings.model = String($('#vectors_model').val());
         Object.assign(extension_settings.vectors, settings);
         saveSettingsDebounced();
     });
diff --git a/public/scripts/extensions/vectors/settings.html b/public/scripts/extensions/vectors/settings.html
index 26e0fb731..fb26b14ff 100644
--- a/public/scripts/extensions/vectors/settings.html
+++ b/public/scripts/extensions/vectors/settings.html
@@ -15,6 +15,22 @@
                     <option value="openai">OpenAI</option>
                     <option value="palm">Google MakerSuite (PaLM)</option>
                     <option value="mistral">MistralAI</option>
+                    <option value="togetherai">TogetherAI</option>
+                </select>
+            </div>
+            <div class="flex-container flexFlowColumn" id="vectorsModel">
+                <label for="vectors_model">
+                    Vectorization Model
+                </label>
+                <select id="vectors_model" class="text_pole">
+                    <option value="togethercomputer/m2-bert-80M-32k-retrieval">M2-BERT-Retrieval-32k</option>
+                    <option value="togethercomputer/m2-bert-80M-8k-retrieval">M2-BERT-Retrieval-8k</option>
+                    <option value="togethercomputer/m2-bert-80M-2k-retrieval">M2-BERT-Retrieval-2K</option>
+                    <option value="WhereIsAI/UAE-Large-V1">UAE-Large-V1</option>
+                    <option value="BAAI/bge-large-en-v1.5">BAAI-Bge-Large-1p5</option>
+                    <option value="BAAI/bge-base-en-v1.5">BAAI-Bge-Base-1p5</option>
+                    <option value="sentence-transformers/msmarco-bert-base-dot-v5">Sentence-BERT</option>
+                    <option value="bert-base-uncased">Bert Base Uncased</option>
                 </select>
             </div>
 
diff --git a/src/endpoints/vectors.js b/src/endpoints/vectors.js
index b2ff9e2d0..c3d0a2e5b 100644
--- a/src/endpoints/vectors.js
+++ b/src/endpoints/vectors.js
@@ -5,7 +5,7 @@ const sanitize = require('sanitize-filename');
 const { jsonParser } = require('../express-common');
 
 // Don't forget to add new sources to the SOURCES array
-const SOURCES = ['transformers', 'mistral', 'openai', 'extras', 'palm'];
+const SOURCES = ['transformers', 'mistral', 'openai', 'extras', 'palm', 'togetherai'];
 
 /**
  * Gets the vector for the given text from the given source.
@@ -16,9 +16,10 @@ const SOURCES = ['transformers', 'mistral', 'openai', 'extras', 'palm'];
  */
 async function getVector(source, sourceSettings, text) {
     switch (source) {
+        case 'togetherai':
         case 'mistral':
         case 'openai':
-            return require('../openai-vectors').getOpenAIVector(text, source);
+            return require('../openai-vectors').getOpenAIVector(text, source, sourceSettings.model);
         case 'transformers':
             return require('../embedding').getTransformersVector(text);
         case 'extras':
@@ -44,9 +45,10 @@ async function getBatchVector(source, sourceSettings, texts) {
     let results = [];
     for (let batch of batches) {
         switch (source) {
+            case 'togetherai':
             case 'mistral':
             case 'openai':
-                results.push(...await require('../openai-vectors').getOpenAIBatchVector(batch, source));
+                results.push(...await require('../openai-vectors').getOpenAIBatchVector(batch, source, sourceSettings.model));
                 break;
             case 'transformers':
                 results.push(...await require('../embedding').getTransformersBatchVector(batch));
@@ -165,19 +167,26 @@ async function queryCollection(collectionId, source, sourceSettings, searchText,
  * @returns {object} - An object that can be used as `sourceSettings` in functions that take that parameter.
  */
 function getSourceSettings(source, request) {
-    // Extras API settings to connect to the Extras embeddings provider
-    let extrasUrl = '';
-    let extrasKey = '';
-    if (source === 'extras') {
-        extrasUrl = String(request.headers['x-extras-url']);
-        extrasKey = String(request.headers['x-extras-key']);
-    }
+    if (source === 'togetherai') {
+        let model = String(request.headers['x-togetherai-model']);
 
-    const sourceSettings = {
-        extrasUrl: extrasUrl,
-        extrasKey: extrasKey,
-    };
-    return sourceSettings;
+        return {
+            model: model,
+        };
+    } else {
+        // Extras API settings to connect to the Extras embeddings provider
+        let extrasUrl = '';
+        let extrasKey = '';
+        if (source === 'extras') {
+            extrasUrl = String(request.headers['x-extras-url']);
+            extrasKey = String(request.headers['x-extras-key']);
+        }
+
+        return {
+            extrasUrl: extrasUrl,
+            extrasKey: extrasKey,
+        };
+    }
 }
 
 const router = express.Router();
diff --git a/src/openai-vectors.js b/src/openai-vectors.js
index 2a0281e9c..222bc31aa 100644
--- a/src/openai-vectors.js
+++ b/src/openai-vectors.js
@@ -2,6 +2,11 @@ const fetch = require('node-fetch').default;
 const { SECRET_KEYS, readSecret } = require('./endpoints/secrets');
 
 const SOURCES = {
+    'togetherai': {
+        secretKey: SECRET_KEYS.TOGETHERAI,
+        url: 'api.together.xyz',
+        model: 'togethercomputer/m2-bert-80M-32k-retrieval',
+    },
     'mistral': {
         secretKey: SECRET_KEYS.MISTRALAI,
         url: 'api.mistral.ai',
@@ -18,9 +23,10 @@ const SOURCES = {
  * Gets the vector for the given text batch from an OpenAI compatible endpoint.
  * @param {string[]} texts - The array of texts to get the vector for
  * @param {string} source - The source of the vector
+ * @param model
  * @returns {Promise<number[][]>} - The array of vectors for the texts
  */
-async function getOpenAIBatchVector(texts, source) {
+async function getOpenAIBatchVector(texts, source, model = '') {
     const config = SOURCES[source];
 
     if (!config) {
@@ -44,7 +50,7 @@ async function getOpenAIBatchVector(texts, source) {
         },
         body: JSON.stringify({
             input: texts,
-            model: config.model,
+            model: source === 'togetherai' && model !== '' ? model : config.model,
         }),
     });
 
@@ -72,10 +78,11 @@ async function getOpenAIBatchVector(texts, source) {
  * Gets the vector for the given text from an OpenAI compatible endpoint.
  * @param {string} text - The text to get the vector for
  * @param {string} source - The source of the vector
+ * @param model
  * @returns {Promise<number[]>} - The vector for the text
  */
-async function getOpenAIVector(text, source) {
-    const vectors = await getOpenAIBatchVector([text], source);
+async function getOpenAIVector(text, source, model = '') {
+    const vectors = await getOpenAIBatchVector([text], source, model);
     return vectors[0];
 }