feat: RAG Integration (#238)

* feat: add rag provider and retriever

* feat: retriever tool

* feat: add retriever tool to the researcher node

* feat: add rag http apis

* feat: new message input supports resource mentions

* feat: new message input component support resource mentions

* refactor: need_web_search to need_search

* chore: RAG integration docs

* chore: change example api host

* fix: user message color in dark mode

* fix: mentions style

* feat: add local_search_tool to researcher prompt

* chore: research prompt

* fix: ragflow page size and reporter with

* docs: ragflow integration and add acknowledgment projects

* chore: format

src/prompts/researcher.md

@@ -11,6 +11,9 @@ You are dedicated to conducting thorough investigations using search tools and p
 You have access to two types of tools:
 
 1. **Built-in Tools**: These are always available:
+   {% if resources %}
+   - **local_search_tool**: For retrieving information from the local knowledge base when user mentioned in the messages.
+   {% endif %}
    - **web_search_tool**: For performing web searches
    - **crawl_tool**: For reading content from URLs
 
@@ -34,7 +37,7 @@ You have access to two types of tools:
 3. **Plan the Solution**: Determine the best approach to solve the problem using the available tools.
 4. **Execute the Solution**:
    - Forget your previous knowledge, so you **should leverage the tools** to retrieve the information.
-   - Use the **web_search_tool** or other suitable search tool to perform a search with the provided keywords.
+   - Use the {% if resources %}**local_search_tool** or{% endif %}**web_search_tool** or other suitable search tool to perform a search with the provided keywords.
    - When the task includes time range requirements:
      - Incorporate appropriate time-based search parameters in your queries (e.g., "after:2020", "before:2023", or specific date ranges)
      - Ensure search results respect the specified time constraints.