diff --git a/CHANGELOG.md b/CHANGELOG.md index fd76ccbc63..57e6c06142 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,4 +1,4 @@ -## 0.11.5-dev2 +## 0.11.5 ### Enhancements diff --git a/docs/source/introduction/key_concepts.rst b/docs/source/introduction/key_concepts.rst index 46086dd446..18ed9329d8 100644 --- a/docs/source/introduction/key_concepts.rst +++ b/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 `__. +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 `__. 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 `__ \ No newline at end of file +For a full guide on how to implement RAG check out this `blog post `__ diff --git a/unstructured/__version__.py b/unstructured/__version__.py index b056c56d9a..e269c0b1ff 100644 --- a/unstructured/__version__.py +++ b/unstructured/__version__.py @@ -1 +1 @@ -__version__ = "0.11.5-dev2" # pragma: no cover +__version__ = "0.11.5" # pragma: no cover