Added release notes (#3660)

### What problem does this PR solve?


### Type of change


- [x] Documentation Update

docs/guides/deploy_local_llm.mdx

@@ -7,6 +7,8 @@ slug: /deploy_local_llm
 import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 
+Run models locally using Ollama, Xinference, or other frameworks.
+
 RAGFlow supports deploying models locally using Ollama, Xinference, IPEX-LLM, or jina. If you have locally deployed models to leverage or wish to enable GPU or CUDA for inference acceleration, you can bind Ollama or Xinference into RAGFlow and use either of them as a local "server" for interacting with your local models.
 
 RAGFlow seamlessly integrates with Ollama and Xinference, without the need for further environment configurations. You can use them to deploy two types of local models in RAGFlow: chat models and embedding models.

docs/guides/manage_team_members.md

@@ -27,7 +27,7 @@ _On the **Team** page, you can view the information about members of your team a
 
 You are, by default, the owner of your own team and the only person permitted to invite users to join your team or remove team members.
 
-![invite_team_member](https://github.com/user-attachments/assets/75e19d53-3a00-480e-8b16-fe00c23c4486)
+![invite_team_member](https://github.com/user-attachments/assets/d85b55c3-7e86-4f04-a414-ca18a9ee8963)
 
 ## Remove team members
 
@@ -36,4 +36,3 @@ You are, by default, the owner of your own team and the only person permitted to
 ## Accept or decline team invite
 
 ![accept_or_decline_team_invite](https://github.com/user-attachments/assets/6a2cb61f-03d5-4423-9ed1-71df97ff4114)
-

docs/references/supported_models.mdx

@@ -4,7 +4,7 @@ slug: /supported_models
 ---
 
 # Supported models
-import APITable from '../../src/components/APITable';
+import APITable from '@site/src/components/APITable';
 
 A complete list of models supported by RAGFlow, which will continue to expand.
 

docs/release_notes.md

@@ -0,0 +1,37 @@
+---
+sidebar_position: 2
+slug: /release_notes
+---
+
+# Release notes
+
+Key features and improvements in the latest releases.
+
+## v0.14.0
+
+Released on November 26, 2024.
+
+### New features
+
+- Supports [Infinity](https://github.com/infiniflow/infinity) or Elasticsearch (default) as document engine for vector storage and full-text indexing.
+- Enhances user experience by adding more variables to the Agent and implementing auto-saving.
+- Adds a three-step translation agent template, inspired by [Andrew Ng's translation agent](https://github.com/andrewyng/translation-agent).
+- Adds an SEO-optimized blog writing agent template.
+- Provides HTTP and Python APIs for conversing with an agent.
+- Supports the use of English synonyms during retrieval processes.
+- Optimizes term weight calculations, reducing the retrieval time by 50%.
+- Improves task executor monitoring with additional performance indicators.
+- Replaces Redis with Valkey.
+- Adds three new UI languages (contributed by community): Indonesian, Spanish, and Vietnamese.
+
+### Related APIs
+
+#### HTTP APIs
+
+- [Create session with agent](https://ragflow.io/docs/dev/http_api_reference#create-session-with-an-agent)
+- [Converse with agent](https://ragflow.io/docs/dev/http_api_reference#converse-with-agent)
+
+#### Python APIs
+
+- [Create session with agent](https://ragflow.io/docs/dev/python_api_reference#create-session-with-agent)
+- [Converse with agent](https://ragflow.io/docs/dev/python_api_reference#create-session-with-agent)