build: release commit for 0.11.5 (#2285)

Also fix broken link in docs.

Author: cragwolfe

Diff for: CHANGELOG.md

@@ -1,4 +1,4 @@
-## 0.11.5-dev2
+## 0.11.5
 
 ### Enhancements
 

Diff for: docs/source/introduction/key_concepts.rst

@@ -6,7 +6,7 @@ Natural Language Processing (NLP) encompasses a broad spectrum of tasks and meth
 Data Ingestion
 --------------
 
-Unstructured's ``upstream connectors`` make data ingestion easy. They ensure that your data is accessible, up to date, and usable for any downstream task. If you'd like to read more on our upstream connectors, you can find details `here <https://unstructured-io.github.io/unstructured/source_connectors.html>`__.
+Unstructured's ``upstream connectors`` make data ingestion easy. They ensure that your data is accessible, up to date, and usable for any downstream task. If you'd like to read more on our upstream connectors, you can find details `here <https://unstructured-io.github.io/unstructured/ingest/source_connectors.html>`__.
 
 Data Preprocessing
 ^^^^^^^^^^^^^^^^^^
@@ -75,4 +75,4 @@ A RAG workflow can be broken down into the following steps:
 
 7. **LLM Generation**: Once you've retrieved your relevant chunks you pass the prompt + the context to the LLM for the LLM to generate a more accurate response.
 
-For a full guide on how to implement RAG check out this `blog post <https://medium.com/unstructured-io/effortless-document-extraction-a-guide-to-using-unstructured-api-and-data-connectors-6c2659eda4af>`__
+For a full guide on how to implement RAG check out this `blog post <https://medium.com/unstructured-io/effortless-document-extraction-a-guide-to-using-unstructured-api-and-data-connectors-6c2659eda4af>`__

Diff for: unstructured/__version__.py

@@ -1 +1 @@
-__version__ = "0.11.5-dev2"  # pragma: no cover
+__version__ = "0.11.5"  # pragma: no cover