docs: Update Changelog.md for new release

CHANGELOG.md

@@ -1,21 +1,26 @@
 # Changelog
 
 ## Unreleased
-- feature: `AlephAlphaModel` now supports a `context_size`-property
 
 ### Breaking Changes
 ...
 
 ### New Features
- - Add new `IncrementalEvaluator` for easier addition of runs to existing evaluations without repeated evaluation.
-   - Add `IncrementalEvaluationLogic` for use in `IncrementalEvaluator`
+...
 
 ### Fixes
 ...
 
 ### Deprecations
 ...
 
+## 1.1.0
+
+### New Features
+ - `AlephAlphaModel` now supports a `context_size`-property
+ - Add new `IncrementalEvaluator` for easier addition of runs to existing evaluations without repeated evaluation.
+   - Add `IncrementalEvaluationLogic` for use in `IncrementalEvaluator`
+
 ## 1.0.0
 
 Initial stable release
@@ -24,35 +29,35 @@ With the release of version 1.0.0 there have been introduced some new features b
 Apart from these changes, we also had to reset our commit history, so please be aware of this fact.
 
 ### Breaking Changes
-- breaking_change: The TraceViewer has been exported to its own repository and can be accessed via the artifactory [here]( https://alephalpha.jfrog.io.)
-- breaking_change: `HuggingFaceDatasetRepository` now has a parameter caching, which caches  examples of a dataset once loaded.
+-  The TraceViewer has been exported to its own repository and can be accessed via the artifactory [here]( https://alephalpha.jfrog.io.)
+-  `HuggingFaceDatasetRepository` now has a parameter caching, which caches  examples of a dataset once loaded.
   - `True` as default value
   - set to `False` for **non-breaking**-change
 
 
 ### New Features
 #### Llama2 and LLama3 model support
-- feature: Introduction of `LLama2InstructModel` allows support of the LLama2-models:
+-  Introduction of `LLama2InstructModel` allows support of the LLama2-models:
   - `llama-2-7b-chat`
   - `llama-2-13b-chat`
   - `llama-2-70b-chat`
-- feature: Introduction of `LLama3InstructModel` allows support of the LLama2-models:
+-  Introduction of `LLama3InstructModel` allows support of the LLama2-models:
   - `llama-3-8b-instruct`
   - `llama-3-70b-instruct`
 #### DocumentIndexClient
 `DocumentIndexClient` has been enhanced with the following set of features:
-- feature: `create_index`
+-  `create_index`
 - feature `index_configuration`
-- feature: `assign_index_to_collection`
-- feature: `delete_index_from_collection`
-- feature: `list_assigned_index_names`
+-  `assign_index_to_collection`
+-  `delete_index_from_collection`
+-  `list_assigned_index_names`
 
 #### Miscellaneous
-- feature: `ExpandChunks`-task now caches chunked documents by ID
-- feature: `DocumentIndexRetriever` now supports `index_name`
-- feature: `Runner.run_dataset` now has a configurable number of workers via `max_workers` and defaults to the previous value, which is 10.
-- feature: In case a `BusyError` is raised during a `complete` the `LimitedConcurrencyClient` will retry until `max_retry_time` is reached.
+-  `ExpandChunks`-task now caches chunked documents by ID
+-  `DocumentIndexRetriever` now supports `index_name`
+-  `Runner.run_dataset` now has a configurable number of workers via `max_workers` and defaults to the previous value, which is 10.
+-  In case a `BusyError` is raised during a `complete` the `LimitedConcurrencyClient` will retry until `max_retry_time` is reached.
 
 ### Fixes
-- fix: `HuggingFaceRepository` no longer is a dataset repository. This also means that `HuggingFaceAggregationRepository` no longer is a dataset repository.
-- fix: The input parameter of the `DocumentIndex.search()`-function now has been renamed from `index` to `index_name`
+-  `HuggingFaceRepository` no longer is a dataset repository. This also means that `HuggingFaceAggregationRepository` no longer is a dataset repository.
+-  The input parameter of the `DocumentIndex.search()`-function now has been renamed from `index` to `index_name`

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "intelligence-layer"
-version = "1.0.0"
+version = "1.1.0"
 description = ""
 authors = ["Aleph Alpha Engineering <[email protected]>"]
 readme = "README.md"