docs: Update documentation links from /integrations/ to /hub/

instructor-ai · Nov 18, 2024 · 742b4bb · 742b4bb
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diff --git a/docs/blog/index.md b/docs/blog/index.md
@@ -51,8 +51,8 @@ If you want to get updates on new features and tips on how to use Instructor, yo
 - [llama-cpp-python Integration](../integrations/llama-cpp-python.md)
 - [Anyscale Integration](../integrations/anyscale.md)
 - [Together Compute Integration](../integrations/together.md)
-- [Extracting Data into Pandas DataFrame using GPT-3.5 Turbo](../integrations/pandas_df.md)
-- [Implementing Streaming Partial Responses with Field-Level Streaming](../integrations/partial_streaming.md)
+- [Extracting Data into Pandas DataFrame using GPT-3.5 Turbo](../hub/pandas_df.md)
+- [Implementing Streaming Partial Responses with Field-Level Streaming](../hub/partial_streaming.md)
 
 ## Media and Resources
 

diff --git a/docs/examples/classification.md b/docs/examples/classification.md
@@ -5,7 +5,7 @@ description: Learn to implement single-label and multi-label text classification
 
 # Text Classification using OpenAI and Pydantic
 
-This tutorial showcases how to implement text classification tasks—specifically, single-label and multi-label classifications—using the OpenAI API and Pydantic models. If you want to see full examples check out the hub examples for [single classification](../integrations/single_classification.md) and [multi classification](../integrations/multiple_classification.md)
+This tutorial showcases how to implement text classification tasks—specifically, single-label and multi-label classifications—using the OpenAI API and Pydantic models. If you want to see full examples check out the hub examples for [single classification](../hub/single_classification.md) and [multi classification](../hub/multiple_classification.md)
 
 !!! tips "Motivation"
 

diff --git a/docs/examples/index.md b/docs/examples/index.md
@@ -18,7 +18,7 @@ Welcome to our collection of cookbooks showcasing the power of structured output
 7. [Complex Query Decomposition](planning-tasks.md): Break down intricate queries into manageable subtasks for thorough analysis.
 8. [Entity Extraction and Resolution](entity_resolution.md): Identify and disambiguate named entities in text.
 9. [PII Sanitization](pii.md): Detect and redact sensitive personal information from text data.
-10. [Action Item and Dependency Extraction](../integrations/action_items.md): Generate structured task lists and relationships from meeting transcripts.
+10. [Action Item and Dependency Extraction](../hub/action_items.md): Generate structured task lists and relationships from meeting transcripts.
 11. [OpenAI Content Moderation Integration](moderation.md): Implement content filtering using OpenAI's moderation API.
 12. [Table Extraction with GPT-Vision](extracting_tables.md): Convert image-based tables into structured data using AI vision capabilities.
 13. [AI-Powered Ad Copy Generation from Images](image_to_ad_copy.md): Create compelling advertising text based on visual content.