Adding mistral generator and embedders

.github/labeler.yml

@@ -64,6 +64,11 @@ integration:llama_cpp:
       - any-glob-to-any-file: "integrations/llama_cpp/**/*"
       - any-glob-to-any-file: ".github/workflows/llama_cpp.yml"
 
+integration:mistral:
+  - changed-files:
+      - any-glob-to-any-file: "integrations/mistral/**/*"
+      - any-glob-to-any-file: ".github/workflows/mistral.yml"
+
 integration:mongodb-atlas:
   - changed-files:
       - any-glob-to-any-file: "integrations/mongodb_atlas/**/*"

.github/workflows/mistral.yml

@@ -0,0 +1,61 @@
+# This workflow comes from https://github.com/ofek/hatch-mypyc
+# https://github.com/ofek/hatch-mypyc/blob/5a198c0ba8660494d02716cfc9d79ce4adfb1442/.github/workflows/test.yml
+name: Test / mistral
+
+on:
+  schedule:
+    - cron: "0 0 * * *"
+  pull_request:
+    paths:
+      - "integrations/mistral/**"
+      - ".github/workflows/mistral.yml"
+
+defaults:
+  run:
+    working-directory: integrations/mistral
+
+concurrency:
+  group: mistral-${{ github.head_ref }}
+  cancel-in-progress: true
+
+env:
+  PYTHONUNBUFFERED: "1"
+  FORCE_COLOR: "1"
+  MISTRAL_API_KEY: ${{ secrets.MISTRAL_API_KEY }}
+
+jobs:
+  run:
+    name: Python ${{ matrix.python-version }} on ${{ startsWith(matrix.os, 'macos-') && 'macOS' || startsWith(matrix.os, 'windows-') && 'Windows' || 'Linux' }}
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest, windows-latest, macos-latest]
+        python-version: ["3.9", "3.10"]
+
+    steps:
+      - name: Support longpaths
+        if: matrix.os == 'windows-latest'
+        working-directory: .
+        run: git config --system core.longpaths true
+
+      - uses: actions/checkout@v4
+
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install Hatch
+        run: pip install --upgrade hatch
+
+      - name: Lint
+        if: matrix.python-version == '3.9' && runner.os == 'Linux'
+        run: hatch run lint:all\
+
+      - name: Generate docs
+        if: matrix.python-version == '3.9' && runner.os == 'Linux'
+        run: hatch run docs
+
+      - name: Run tests
+        run: hatch run cov

README.md

@@ -85,3 +85,4 @@ deepset-haystack
 | [unstructured-fileconverter-haystack](integrations/unstructured/)   | File converter      | [![PyPI - Version](https://img.shields.io/pypi/v/unstructured-fileconverter-haystack.svg)](https://pypi.org/project/unstructured-fileconverter-haystack) | [![Test / unstructured](https://github.com/deepset-ai/haystack-core-integrations/actions/workflows/unstructured.yml/badge.svg)](https://github.com/deepset-ai/haystack-core-integrations/actions/workflows/unstructured.yml)                         |
 | [uptrain-haystack](integrations/uptrain/)                           | Evaluator           | [![PyPI - Version](https://img.shields.io/pypi/v/uptrain-haystack.svg)](https://pypi.org/project/uptrain-haystack)                                       | [![Test / uptrain](https://github.com/deepset-ai/haystack-core-integrations/actions/workflows/uptrain.yml/badge.svg)](https://github.com/deepset-ai/haystack-core-integrations/actions/workflows/uptrain.yml)                                        |
 | [amazon-sagemaker-haystack](integrations/amazon_sagemaker/)         | Generator           | [![PyPI - Version](https://img.shields.io/pypi/v/amazon-sagemaker-haystack.svg)](https://pypi.org/project/amazon-sagemaker-haystack)                     | [![Test / amazon_sagemaker](https://github.com/deepset-ai/haystack-core-integrations/actions/workflows/amazon_sagemaker.yml/badge.svg)](https://github.com/deepset-ai/haystack-core-integrations/actions/workflows/amazon_sagemaker.yml)             |
+| [mistral-haystack](integrations/mistral/)                               | Embedder, Generator      | [![PyPI - Version](https://img.shields.io/pypi/v/mistral-haystack.svg)](https://pypi.org/project/mistral-haystack)                                           | [![Test / astra](https://github.com/deepset-ai/haystack-core-integrations/actions/workflows/mistral.yml/badge.svg)](https://github.com/deepset-ai/haystack-core-integrations/actions/workflows/mistral.yml)                                              |

integrations/mistral/LICENSE.txt

@@ -0,0 +1,73 @@
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+Version 2.0, January 2004
+http://www.apache.org/licenses/
+
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integrations/mistral/README.md

@@ -0,0 +1,21 @@
+# mistral-haystack
+
+[![PyPI - Version](https://img.shields.io/pypi/v/mistral-haystack.svg)](https://pypi.org/project/mistral-haystack)
+[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/mistral-haystack.svg)](https://pypi.org/project/mistral-haystack)
+
+-----
+
+**Table of Contents**
+
+- [Installation](#installation)
+- [License](#license)
+
+## Installation
+
+```console
+pip install mistral-haystack
+```
+
+## License
+
+`mistral-haystack` is distributed under the terms of the [Apache-2.0](https://spdx.org/licenses/Apache-2.0.html) license.

integrations/mistral/examples/indexing_pipeline.py

@@ -0,0 +1,32 @@
+# To run this example, you will need an to set a `MISTRAL_API_KEY` environment variable.
+# This example streams chat replies to the console.
+
+from haystack import Pipeline
+from haystack.components.converters import HTMLToDocument
+from haystack.components.fetchers import LinkContentFetcher
+from haystack.components.preprocessors import DocumentSplitter
+from haystack.components.writers import DocumentWriter
+from haystack.document_stores.in_memory import InMemoryDocumentStore
+from haystack_integrations.components.embedders.mistral.document_embedder import MistralDocumentEmbedder
+
+document_store = InMemoryDocumentStore()
+fetcher = LinkContentFetcher()
+converter = HTMLToDocument()
+chunker = DocumentSplitter()
+embedder = MistralDocumentEmbedder()
+writer = DocumentWriter(document_store=document_store)
+
+indexing = Pipeline()
+
+indexing.add_component(name="fetcher", instance=fetcher)
+indexing.add_component(name="converter", instance=converter)
+indexing.add_component(name="chunker", instance=chunker)
+indexing.add_component(name="embedder", instance=embedder)
+indexing.add_component(name="writer", instance=writer)
+
+indexing.connect("fetcher", "converter")
+indexing.connect("converter", "chunker")
+indexing.connect("chunker", "embedder")
+indexing.connect("embedder", "writer")
+
+indexing.run(data={"fetcher": {"urls": ["https://mistral.ai/news/la-plateforme/"]}})

integrations/mistral/examples/streaming_chat_with_rag.py

@@ -0,0 +1,66 @@
+# To run this example, you will need an to set a `MISTRAL_API_KEY` environment variable.
+# This example streams chat replies to the console.
+
+from haystack import Pipeline
+from haystack.components.builders import DynamicChatPromptBuilder
+from haystack.components.converters import HTMLToDocument
+from haystack.components.fetchers import LinkContentFetcher
+from haystack.components.generators.utils import print_streaming_chunk
+from haystack.components.preprocessors import DocumentSplitter
+from haystack.components.retrievers.in_memory import InMemoryEmbeddingRetriever
+from haystack.components.writers import DocumentWriter
+from haystack.dataclasses import ChatMessage
+from haystack.document_stores.in_memory import InMemoryDocumentStore
+from haystack_integrations.components.embedders.mistral.document_embedder import MistralDocumentEmbedder
+from haystack_integrations.components.embedders.mistral.text_embedder import MistralTextEmbedder
+from haystack_integrations.components.generators.mistral import MistralChatGenerator
+
+document_store = InMemoryDocumentStore()
+fetcher = LinkContentFetcher()
+converter = HTMLToDocument()
+chunker = DocumentSplitter()
+embedder = MistralDocumentEmbedder()
+writer = DocumentWriter(document_store=document_store)
+
+indexing = Pipeline()
+
+indexing.add_component(name="fetcher", instance=fetcher)
+indexing.add_component(name="converter", instance=converter)
+indexing.add_component(name="chunker", instance=chunker)
+indexing.add_component(name="embedder", instance=embedder)
+indexing.add_component(name="writer", instance=writer)
+
+indexing.connect("fetcher", "converter")
+indexing.connect("converter", "chunker")
+indexing.connect("chunker", "embedder")
+indexing.connect("embedder", "writer")
+
+indexing.run(data={"fetcher": {"urls": ["https://mistral.ai/news/la-plateforme/"]}})
+
+text_embedder = MistralTextEmbedder()
+retriever = InMemoryEmbeddingRetriever(document_store=document_store)
+prompt_builder = DynamicChatPromptBuilder(runtime_variables=["documents"])
+llm = MistralChatGenerator(streaming_callback=print_streaming_chunk)
+
+messages = [ChatMessage.from_user("Here are some the documents: {{documents}} \\n Answer: {{query}}")]
+
+rag_pipeline = Pipeline()
+rag_pipeline.add_component("text_embedder", text_embedder)
+rag_pipeline.add_component("retriever", retriever)
+rag_pipeline.add_component("prompt_builder", prompt_builder)
+rag_pipeline.add_component("llm", llm)
+
+
+rag_pipeline.connect("text_embedder.embedding", "retriever.query_embedding")
+rag_pipeline.connect("retriever.documents", "prompt_builder.documents")
+rag_pipeline.connect("prompt_builder.prompt", "llm.messages")
+
+question = "What are the available models?"
+
+result = rag_pipeline.run(
+    {
+        "text_embedder": {"text": question},
+        "prompt_builder": {"template_variables": {"query": question}, "prompt_source": messages},
+        "llm": {"generation_kwargs": {"max_tokens": 165}},
+    }
+)