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/config/configuration.py

@@ -2,16 +2,21 @@
 # SPDX-License-Identifier: MIT
 
 import os
-from dataclasses import dataclass, fields
+from dataclasses import dataclass, field, fields
 from typing import Any, Optional
 
 from langchain_core.runnables import RunnableConfig
 
+from src.rag.retriever import Resource
+
 
 @dataclass(kw_only=True)
 class Configuration:
     """The configurable fields."""
 
+    resources: list[Resource] = field(
+        default_factory=list
+    )  # Resources to be used for the research
     max_plan_iterations: int = 1  # Maximum number of plan iterations
     max_step_num: int = 3  # Maximum number of steps in a plan
     max_search_results: int = 3  # Maximum number of search results