diff --git a/qdrant-landing/content/documentation/frameworks/_index.md b/qdrant-landing/content/documentation/frameworks/_index.md
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@@ -12,6 +12,7 @@ weight: 33
| [Bubble](./bubble) | Development platform for application development with a no-code interface |
| [Canopy](./canopy/) | Framework from Pinecone for building RAG applications using LLMs and knowledge bases. |
| [Cheshire Cat](./cheshire-cat/) | Framework to create personalized AI assistants using custom data. |
+| [Confluent](./confluent/) | Fully-managed data streaming platform with a cloud-native Apache Kafka engine. |
| [DLT](./dlt/) | Python library to simplify data loading processes between several sources and destinations. |
| [DocArray](./docarray/) | Python library for managing data in multi-modal AI applications. |
| [DocsGPT](./docsgpt/) | Tool for ingesting documentation sources and enabling conversations and queries. |
diff --git a/qdrant-landing/content/documentation/frameworks/confluent.md b/qdrant-landing/content/documentation/frameworks/confluent.md
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@@ -0,0 +1,283 @@
+---
+title: Confluent
+weight: 3700
+---
+
+
+
+[Confluent Cloud](https://www.confluent.io/confluent-cloud/?utm_campaign=tm.pmm_cd.cwc_partner_Qdrant_generic&utm_source=Qdrant&utm_medium=partnerref) is a fully-managed data streaming platform, available on AWS, GCP, and Azure, with a cloud-native Apache Kafka engine for elastic scaling, enterprise-grade security, stream processing, and governance.
+
+With our [Qdrant-Kafka Sink Connector](https://github.com/qdrant/qdrant-kafka), Qdrant is part of the [Connect with Confluent](https://www.confluent.io/partners/connect/) technology partner program. It brings fully managed data streams directly to organizations through the Confluent Cloud platform. Making it easier for organizations to stream any data to Qdrant with a fully managed Apache Kafka service.
+
+## Usage
+
+### Pre-requisites
+
+- A Confluent Cloud account. You can begin with a [free trial](https://www.confluent.io/confluent-cloud/tryfree/?utm_campaign=tm.pmm_cd.cwc_partner_qdrant_tryfree&utm_source=qdrant&utm_medium=partnerref) with credits for the first 30 days.
+- Qdrant instance to connect to. You can get a free cloud instance at [cloud.qdrant.io](https://cloud.qdrant.io/).
+
+### Installation
+
+1) Download the latest connector zip file from [Confluent Hub](https://github.com/qdrant/landing_page).
+
+2) Configure an environment and cluster on Confluent and create a topic to produce messages for.
+
+3) Navigate to the `Connectors` section of the Confluent cluster and click `Add Plugin`. Upload the zip file with the following info.
+
+
+
+4) Once installed, navigate to the connector and set the following configuration values.
+
+
+
+Replace the placeholder values with your credentials.
+
+5) Add the Qdrant instance host to the allowed networking endpoints.
+
+
+
+7) Start the connector.
+
+## Producing Messages
+
+You can now produce messages for the configured topic, and they'll be written into the configured Qdrant instance.
+
+
+
+## Message Formats
+
+The connector supports messages in the following formats.
+
+_Click each to expand._
+
+
+ Unnamed/Default vector
+
+Reference: [Creating a collection with a default vector](https://qdrant.tech/documentation/concepts/collections/#create-a-collection).
+
+```json
+{
+ "collection_name": "{collection_name}",
+ "id": 1,
+ "vector": [
+ 0.1,
+ 0.2,
+ 0.3,
+ 0.4,
+ 0.5,
+ 0.6,
+ 0.7,
+ 0.8
+ ],
+ "payload": {
+ "name": "kafka",
+ "description": "Kafka is a distributed streaming platform",
+ "url": "https://kafka.apache.org/"
+ }
+}
+```
+
+
+
+
+ Named multiple vectors
+
+Reference: [Creating a collection with multiple vectors](https://qdrant.tech/documentation/concepts/collections/#collection-with-multiple-vectors).
+
+```json
+{
+ "collection_name": "{collection_name}",
+ "id": 1,
+ "vector": {
+ "some-dense": [
+ 0.1,
+ 0.2,
+ 0.3,
+ 0.4,
+ 0.5,
+ 0.6,
+ 0.7,
+ 0.8
+ ],
+ "some-other-dense": [
+ 0.1,
+ 0.2,
+ 0.3,
+ 0.4,
+ 0.5,
+ 0.6,
+ 0.7,
+ 0.8
+ ]
+ },
+ "payload": {
+ "name": "kafka",
+ "description": "Kafka is a distributed streaming platform",
+ "url": "https://kafka.apache.org/"
+ }
+}
+```
+
+
+
+
+ Sparse vectors
+
+Reference: [Creating a collection with sparse vectors](https://qdrant.tech/documentation/concepts/collections/#collection-with-sparse-vectors).
+
+```json
+{
+ "collection_name": "{collection_name}",
+ "id": 1,
+ "vector": {
+ "some-sparse": {
+ "indices": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8,
+ 9
+ ],
+ "values": [
+ 0.1,
+ 0.2,
+ 0.3,
+ 0.4,
+ 0.5,
+ 0.6,
+ 0.7,
+ 0.8,
+ 0.9,
+ 1.0
+ ]
+ }
+ },
+ "payload": {
+ "name": "kafka",
+ "description": "Kafka is a distributed streaming platform",
+ "url": "https://kafka.apache.org/"
+ }
+}
+```
+
+
+
+
+ Multi-vectors
+
+Reference:
+
+- [Multi-vectors](https://qdrant.tech/documentation/concepts/vectors/#multivectors)
+
+```json
+{
+ "collection_name": "{collection_name}",
+ "id": 1,
+ "vector": {
+ "some-multi": [
+ [
+ 0.1,
+ 0.2,
+ 0.3,
+ 0.4,
+ 0.5,
+ 0.6,
+ 0.7,
+ 0.8,
+ 0.9,
+ 1.0
+ ],
+ [
+ 1.0,
+ 0.9,
+ 0.8,
+ 0.5,
+ 0.4,
+ 0.8,
+ 0.6,
+ 0.4,
+ 0.2,
+ 0.1
+ ]
+ ]
+ },
+ "payload": {
+ "name": "kafka",
+ "description": "Kafka is a distributed streaming platform",
+ "url": "https://kafka.apache.org/"
+ }
+}
+```
+
+
+
+
+ Combination of named dense and sparse vectors
+
+Reference:
+
+- [Creating a collection with multiple vectors](https://qdrant.tech/documentation/concepts/collections/#collection-with-multiple-vectors).
+
+- [Creating a collection with sparse vectors](https://qdrant.tech/documentation/concepts/collections/#collection-with-sparse-vectors).
+
+```json
+{
+ "collection_name": "{collection_name}",
+ "id": "a10435b5-2a58-427a-a3a0-a5d845b147b7",
+ "vector": {
+ "some-other-dense": [
+ 0.1,
+ 0.2,
+ 0.3,
+ 0.4,
+ 0.5,
+ 0.6,
+ 0.7,
+ 0.8
+ ],
+ "some-sparse": {
+ "indices": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8,
+ 9
+ ],
+ "values": [
+ 0.1,
+ 0.2,
+ 0.3,
+ 0.4,
+ 0.5,
+ 0.6,
+ 0.7,
+ 0.8,
+ 0.9,
+ 1.0
+ ]
+ }
+ },
+ "payload": {
+ "name": "kafka",
+ "description": "Kafka is a distributed streaming platform",
+ "url": "https://kafka.apache.org/"
+ }
+}
+```
+
+
+
+## Further Reading
+
+- [Kafka Connect Docs](https://docs.confluent.io/platform/current/connect/index.html)
+- [Confluent Connectors Docs](https://docs.confluent.io/cloud/current/connectors/bring-your-connector/custom-connector-qs.html)
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