diff --git a/.github/workflows/main.yaml b/.github/workflows/main.yaml
index 5ebb76b8..5e70eab5 100644
--- a/.github/workflows/main.yaml
+++ b/.github/workflows/main.yaml
@@ -15,7 +15,7 @@ env:
   WEAVIATE_129: 1.29.8
   WEAVIATE_130: 1.30.7
   WEAVIATE_131: 1.31.0
-  WEAVIATE_132: 1.32.0-rc.1
+  WEAVIATE_132: 1.32.4-cdf9a3b
 
 concurrency:
   group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
diff --git a/src/collections/config/index.ts b/src/collections/config/index.ts
index bdc7ed4e..a8850d17 100644
--- a/src/collections/config/index.ts
+++ b/src/collections/config/index.ts
@@ -21,6 +21,7 @@ import {
   QuantizerConfig,
   RQConfig,
   SQConfig,
+  UncompressedConfig,
   VectorIndexConfig,
   VectorIndexConfigDynamic,
   VectorIndexConfigFlat,
@@ -184,6 +185,9 @@ export class VectorIndex {
 }
 
 export class Quantizer {
+  static isUncompressed(config?: QuantizerConfig): config is UncompressedConfig {
+    return config?.type === 'none';
+  }
   static isPQ(config?: QuantizerConfig): config is PQConfig {
     return config?.type === 'pq';
   }
diff --git a/src/collections/config/types/vectorIndex.ts b/src/collections/config/types/vectorIndex.ts
index b9c894cf..907fdc08 100644
--- a/src/collections/config/types/vectorIndex.ts
+++ b/src/collections/config/types/vectorIndex.ts
@@ -68,6 +68,10 @@ export type RQConfig = {
   type: 'rq';
 };
 
+export type UncompressedConfig = {
+  type: 'none';
+};
+
 export type MultiVectorConfig = {
   aggregation: 'maxSim' | string;
   encoding?: MultiVectorEncodingConfig;
@@ -98,4 +102,4 @@ export type VectorIndexFilterStrategy = 'sweeping' | 'acorn';
 
 export type VectorIndexConfig = VectorIndexConfigHNSW | VectorIndexConfigFlat | VectorIndexConfigDynamic;
 
-export type QuantizerConfig = PQConfig | BQConfig | SQConfig | RQConfig;
+export type QuantizerConfig = PQConfig | BQConfig | SQConfig | RQConfig | UncompressedConfig;
diff --git a/src/collections/config/utils.ts b/src/collections/config/utils.ts
index 76104422..b87d8c16 100644
--- a/src/collections/config/utils.ts
+++ b/src/collections/config/utils.ts
@@ -30,6 +30,7 @@ import {
   VectorizersConfigAdd,
   VectorizersConfigCreate,
 } from '../configure/types/index.js';
+import { Quantizer } from '../index.js';
 import {
   BQConfig,
   CollectionConfig,
@@ -179,6 +180,12 @@ export const parseVectorIndex = (module: ModuleConfig<VectorIndexType, VectorInd
     multivector,
   };
   if (quantizer === undefined) return conf;
+  if (Quantizer.isUncompressed(quantizer)) {
+    return {
+      ...conf,
+      skipDefaultQuantization: true,
+    };
+  }
   if (QuantizerGuards.isBQCreate(quantizer)) {
     const { type, ...quant } = quantizer;
     return {
diff --git a/src/collections/configure/unit.test.ts b/src/collections/configure/unit.test.ts
index e7e61292..82f6c1c2 100644
--- a/src/collections/configure/unit.test.ts
+++ b/src/collections/configure/unit.test.ts
@@ -255,6 +255,21 @@ describe('Unit testing of the configure & reconfigure factory classes', () => {
     });
   });
 
+  it('should create an hnsw VectorIndexConfig type with "none" quantizer', () => {
+    const config = configure.vectorIndex.hnsw({
+      quantizer: configure.vectorIndex.quantizer.none(),
+    });
+    expect(config).toEqual<ModuleConfig<'hnsw', VectorIndexConfigHNSWCreate>>({
+      name: 'hnsw',
+      config: {
+        quantizer: {
+          type: 'none',
+        },
+        type: 'hnsw',
+      },
+    });
+  });
+
   it('should create an hnsw VectorIndexConfig type with multivector enabled', () => {
     const config = configure.vectorIndex.hnsw({
       multiVector: configure.vectorIndex.multiVector.multiVector({ aggregation: 'maxSim' }),
diff --git a/src/collections/configure/vectorIndex.ts b/src/collections/configure/vectorIndex.ts
index 83f0eac9..39bd8af3 100644
--- a/src/collections/configure/vectorIndex.ts
+++ b/src/collections/configure/vectorIndex.ts
@@ -2,6 +2,7 @@ import {
   ModuleConfig,
   PQEncoderDistribution,
   PQEncoderType,
+  UncompressedConfig,
   VectorIndexFilterStrategy,
 } from '../config/types/index.js';
 import {
@@ -149,6 +150,14 @@ const configure = {
    * Define the quantizer configuration to use when creating a vector index.
    */
   quantizer: {
+    /**
+     * Create an object of type `UncomplressedConfig` to skip default vector quantization.
+     *
+     * @returns {BQConfigCreate} The object of type `BQConfigCreate`.
+     */
+    none: (): UncompressedConfig => {
+      return { type: 'none' };
+    },
     /**
      * Create an object of type `BQConfigCreate` to be used when defining the quantizer configuration of a vector index.
      *
diff --git a/src/collections/integration.test.ts b/src/collections/integration.test.ts
index 905f83ce..193d8bec 100644
--- a/src/collections/integration.test.ts
+++ b/src/collections/integration.test.ts
@@ -1,4 +1,5 @@
 /* eslint-disable @typescript-eslint/no-non-null-assertion */
+import { requireAtLeast } from '../../test/version';
 import weaviate, { WeaviateClient } from '../index';
 import {
   CollectionConfigCreate,
@@ -656,6 +657,45 @@ describe('Testing of the collections.create method', () => {
     ).toEqual(true);
   });
 
+  requireAtLeast(1, 32, 0).describe('uncompressed vectors', () => {
+    it('should be able to create a collection with uncompressed default vector', async () => {
+      const collectionName = 'TestCollectionUncompressedVector';
+
+      await contextionary.collections.create({
+        name: collectionName,
+        vectorizers: weaviate.configure.vectors.text2VecContextionary({
+          vectorIndexConfig: weaviate.configure.vectorIndex.hnsw({
+            quantizer: weaviate.configure.vectorIndex.quantizer.none(),
+          }),
+        }),
+      });
+
+      const collection = await contextionary.collections.export(collectionName);
+
+      expect((collection.vectorizers.default.indexConfig as VectorIndexConfigHNSW).quantizer).toBeUndefined();
+    });
+
+    it('should be able to create a collection with uncompressed named vector', async () => {
+      const collectionName = 'TestCollectionUncompressedVectorNamed';
+
+      await contextionary.collections.create({
+        name: collectionName,
+        vectorizers: weaviate.configure.vectors.text2VecContextionary({
+          name: 'custom_vec',
+          vectorIndexConfig: weaviate.configure.vectorIndex.hnsw({
+            quantizer: weaviate.configure.vectorIndex.quantizer.none(),
+          }),
+        }),
+      });
+
+      const collection = await contextionary.collections.export(collectionName);
+
+      expect(
+        (collection.vectorizers.custom_vec.indexConfig as VectorIndexConfigHNSW).quantizer
+      ).toBeUndefined();
+    });
+  });
+
   it('should be able to create a collection with an openai vectorizer with configure.vectors', async () => {
     const collectionName = 'TestCollectionOpenAIVectorizerWithConfigureVectorizer';
     const response = await openai.collections