Add mixedbread ai integration

integrations/mixedbread-ai.md

@@ -0,0 +1,62 @@
+---
+layout: integration
+name: mixedbread ai
+description: Use mixedbread's models as well as top open-source models in seconds
+authors:
+ - name: mixedbread ai
+ socials:
+ github: mixedbread-ai
+ website: mixedbread.ai
+pypi: https://pypi.org/project/mixedbread_ai_haystack/
+repo: https://github.com/mixedbread-ai/mixedbread-ai-haystack
+type: Model Provider
+report_issue: https://github.com/mixedbread-ai/mixedbread-ai-haystack/issues
+logo: /logos/mixedbread-ai.png
+toc: true
+---
+
+# mixedbread ai haytack 2.0 integration
+
+mixedbread ai offers a seamless integration for users to employ both mixedbread's models and top open-source models effortlessly. Our platform stands out with its capability to re-rank, provide multi-modal embeddings, classifiers, and more. We're on a mission to make AI accessible to everyone, and we're excited to bring our state-of-the-art models to the Haystack community.
+
+### **Table of Contents**
+
+- [Installation](#installation)
+- [Usage](#usage)
+
+
+## Installation
+
+Install the mixedbread ai integration with a simple pip command:
+
+```bash
+pip install mixedbread_ai_haystack
+```
+
+## Usage
+
+You can use mixedbread's embedding models with the [MixedbreadAiTextEmbedder](https://github.com/mixedbread-ai/mixedbread-ai-haystack/blob/main/mixedbread_ai_haystack/embedders/text_embedder.py) and [MixedbreadAiDocumentEmbedder](https://github.com/mixedbread-ai/mixedbread-ai-haystack/blob/main/mixedbread_ai_haystack/embedders/document_embedder.py).
+
+For documents you can use MixedbreadAiDocumentEmbedder and for queries you can use MixedbreadAiTextEmbedder. Once you've selected the component for your specific use case, initialize the component with the model name and mixedbread ai API key. You can also set the environment variable `MIXEDBREAD_API_KEY` instead of passing the api key as an argument.
+
+Here's a basic example:
+
+```python
+from haystack import Document, Pipeline
+from haystack.document_stores.in_memory import InMemoryDocumentStore
+from haystack.components.writers import DocumentWriter
+from mixedbread_ai_haystack.embedders import MixedbreadAiDocumentEmbedder
+
+document_store = InMemoryDocumentStore(embedding_similarity_function="cosine")
+
+documents = [Document(content="Sample text for love"), Document(content="and not for hate"), Document(content="Sample text for mixedbread ai integration")]
+
+indexing_pipeline = Pipeline()
+indexing_pipeline.add_component("embedder", MixedbreadAiDocumentEmbedder(api_key="MIXEDBREAD_API_KEY", model="UAE-Large-V1"))
+indexing_pipeline.add_component("writer", DocumentWriter(document_store=document_store))
+indexing_pipeline.connect("embedder", "writer")
+
+indexing_pipeline.run({"embedder": {"documents": documents}})
+```
+
+Leverage the power of mixedbread ai to bring state-of-the-art ai capabilities to your applications effortlessly.