From 20620cd5bfaee923df3753b04db566ea3148c7ee Mon Sep 17 00:00:00 2001
From: Haystack Bot <73523382+HaystackBot@users.noreply.github.com>
Date: Mon, 27 Oct 2025 12:42:41 +0100
Subject: [PATCH] Sync Core Integrations API reference (mistral) on Docusaurus
 (#9947)

Co-authored-by: anakin87 <44616784+anakin87@users.noreply.github.com>
---
 docs-website/reference/integrations-api/mistral.md           | 5 +++++
 .../version-2.17/integrations-api/mistral.md                 | 5 +++++
 .../version-2.18/integrations-api/mistral.md                 | 5 +++++
 .../version-2.19/integrations-api/mistral.md                 | 5 +++++
 4 files changed, 20 insertions(+)

diff --git a/docs-website/reference/integrations-api/mistral.md b/docs-website/reference/integrations-api/mistral.md
index b0da97561..c5f1f9132 100644
--- a/docs-website/reference/integrations-api/mistral.md
+++ b/docs-website/reference/integrations-api/mistral.md
@@ -432,6 +432,7 @@ Deserialized component.
 def run(
     sources: List[Union[str, Path, ByteStream, DocumentURLChunk, FileChunk,
                         ImageURLChunk]],
+    meta: Optional[Union[Dict[str, Any], List[Dict[str, Any]]]] = None,
     bbox_annotation_schema: Optional[Type[BaseModel]] = None,
     document_annotation_schema: Optional[Type[BaseModel]] = None
 ) -> Dict[str, Any]
@@ -448,6 +449,10 @@ Extract text from documents using Mistral OCR.
 - DocumentURLChunk: Mistral chunk for document URLs (signed or public URLs to PDFs, etc.)
 - ImageURLChunk: Mistral chunk for image URLs (signed or public URLs to images)
 - FileChunk: Mistral chunk for file IDs (files previously uploaded to Mistral)
+- `meta`: Optional metadata to attach to the Documents.
+This value can be either a list of dictionaries or a single dictionary.
+If it's a single dictionary, its content is added to the metadata of all produced Documents.
+If it's a list, the length of the list must match the number of sources, because they will be zipped.
 - `bbox_annotation_schema`: Optional Pydantic model for structured annotations per bounding box.
 When provided, a Vision LLM analyzes each image region and returns structured data.
 - `document_annotation_schema`: Optional Pydantic model for structured annotations for the full document.
diff --git a/docs-website/reference_versioned_docs/version-2.17/integrations-api/mistral.md b/docs-website/reference_versioned_docs/version-2.17/integrations-api/mistral.md
index b0da97561..c5f1f9132 100644
--- a/docs-website/reference_versioned_docs/version-2.17/integrations-api/mistral.md
+++ b/docs-website/reference_versioned_docs/version-2.17/integrations-api/mistral.md
@@ -432,6 +432,7 @@ Deserialized component.
 def run(
     sources: List[Union[str, Path, ByteStream, DocumentURLChunk, FileChunk,
                         ImageURLChunk]],
+    meta: Optional[Union[Dict[str, Any], List[Dict[str, Any]]]] = None,
     bbox_annotation_schema: Optional[Type[BaseModel]] = None,
     document_annotation_schema: Optional[Type[BaseModel]] = None
 ) -> Dict[str, Any]
@@ -448,6 +449,10 @@ Extract text from documents using Mistral OCR.
 - DocumentURLChunk: Mistral chunk for document URLs (signed or public URLs to PDFs, etc.)
 - ImageURLChunk: Mistral chunk for image URLs (signed or public URLs to images)
 - FileChunk: Mistral chunk for file IDs (files previously uploaded to Mistral)
+- `meta`: Optional metadata to attach to the Documents.
+This value can be either a list of dictionaries or a single dictionary.
+If it's a single dictionary, its content is added to the metadata of all produced Documents.
+If it's a list, the length of the list must match the number of sources, because they will be zipped.
 - `bbox_annotation_schema`: Optional Pydantic model for structured annotations per bounding box.
 When provided, a Vision LLM analyzes each image region and returns structured data.
 - `document_annotation_schema`: Optional Pydantic model for structured annotations for the full document.
diff --git a/docs-website/reference_versioned_docs/version-2.18/integrations-api/mistral.md b/docs-website/reference_versioned_docs/version-2.18/integrations-api/mistral.md
index b0da97561..c5f1f9132 100644
--- a/docs-website/reference_versioned_docs/version-2.18/integrations-api/mistral.md
+++ b/docs-website/reference_versioned_docs/version-2.18/integrations-api/mistral.md
@@ -432,6 +432,7 @@ Deserialized component.
 def run(
     sources: List[Union[str, Path, ByteStream, DocumentURLChunk, FileChunk,
                         ImageURLChunk]],
+    meta: Optional[Union[Dict[str, Any], List[Dict[str, Any]]]] = None,
     bbox_annotation_schema: Optional[Type[BaseModel]] = None,
     document_annotation_schema: Optional[Type[BaseModel]] = None
 ) -> Dict[str, Any]
@@ -448,6 +449,10 @@ Extract text from documents using Mistral OCR.
 - DocumentURLChunk: Mistral chunk for document URLs (signed or public URLs to PDFs, etc.)
 - ImageURLChunk: Mistral chunk for image URLs (signed or public URLs to images)
 - FileChunk: Mistral chunk for file IDs (files previously uploaded to Mistral)
+- `meta`: Optional metadata to attach to the Documents.
+This value can be either a list of dictionaries or a single dictionary.
+If it's a single dictionary, its content is added to the metadata of all produced Documents.
+If it's a list, the length of the list must match the number of sources, because they will be zipped.
 - `bbox_annotation_schema`: Optional Pydantic model for structured annotations per bounding box.
 When provided, a Vision LLM analyzes each image region and returns structured data.
 - `document_annotation_schema`: Optional Pydantic model for structured annotations for the full document.
diff --git a/docs-website/reference_versioned_docs/version-2.19/integrations-api/mistral.md b/docs-website/reference_versioned_docs/version-2.19/integrations-api/mistral.md
index b0da97561..c5f1f9132 100644
--- a/docs-website/reference_versioned_docs/version-2.19/integrations-api/mistral.md
+++ b/docs-website/reference_versioned_docs/version-2.19/integrations-api/mistral.md
@@ -432,6 +432,7 @@ Deserialized component.
 def run(
     sources: List[Union[str, Path, ByteStream, DocumentURLChunk, FileChunk,
                         ImageURLChunk]],
+    meta: Optional[Union[Dict[str, Any], List[Dict[str, Any]]]] = None,
     bbox_annotation_schema: Optional[Type[BaseModel]] = None,
     document_annotation_schema: Optional[Type[BaseModel]] = None
 ) -> Dict[str, Any]
@@ -448,6 +449,10 @@ Extract text from documents using Mistral OCR.
 - DocumentURLChunk: Mistral chunk for document URLs (signed or public URLs to PDFs, etc.)
 - ImageURLChunk: Mistral chunk for image URLs (signed or public URLs to images)
 - FileChunk: Mistral chunk for file IDs (files previously uploaded to Mistral)
+- `meta`: Optional metadata to attach to the Documents.
+This value can be either a list of dictionaries or a single dictionary.
+If it's a single dictionary, its content is added to the metadata of all produced Documents.
+If it's a list, the length of the list must match the number of sources, because they will be zipped.
 - `bbox_annotation_schema`: Optional Pydantic model for structured annotations per bounding box.
 When provided, a Vision LLM analyzes each image region and returns structured data.
 - `document_annotation_schema`: Optional Pydantic model for structured annotations for the full document.