feat: support arxiv & brave search

README.md

@@ -14,13 +14,16 @@ lite-deep-researcher is a community-driven AI automation framework that builds u
 git clone https://github.com/hetaoBackend/lite-deep-researcher.git
 cd lite-deep-researcher
 
-# Install dependencies, uv will take care of the python interpreter and venv creation
+# Install dependencies, uv will take care of the python interpreter and venv creation, and install the required packages
 uv sync
 
 # Configure .env with your Search Engine API keys
 # Tavily: https://app.tavily.com/home
+# Brave_SEARCH: https://brave.com/search/api/
 cp .env.example .env
 
+# See the 'Supported Search Engines' section below for all available options
+
 # Configure conf.yaml for your LLM model and API keys
 # Gemini: https://ai.google.dev/gemini-api/docs/openai
 cp conf.yaml.example conf.yaml
@@ -29,6 +32,32 @@ cp conf.yaml.example conf.yaml
 uv run main.py
 ```
 
+## Supported Search Engines
+
+Lite-deep-researcher supports multiple search engines that can be configured in your `.env` file using the `SEARCH_API` variable:
+
+- **Tavily** (default): A specialized search API for AI applications
+  - Requires `TAVILY_API_KEY` in your `.env` file
+  - Sign up at: https://app.tavily.com/home
+
+- **DuckDuckGo**: Privacy-focused search engine
+  - No API key required
+
+- **Brave Search**: Privacy-focused search engine with advanced features
+  - Requires `BRAVE_SEARCH_API_KEY` in your `.env` file
+  - Sign up at: https://brave.com/search/api/
+
+- **Arxiv**: Scientific paper search for academic research
+  - No API key required
+  - Specialized for scientific and academic papers
+
+To configure your preferred search engine, set the `SEARCH_API` variable in your `.env` file:
+
+```bash
+# Choose one: tavily, duckduckgo, brave_search, arxiv
+SEARCH_API=tavily
+```
+
 ## Development
 
 ### Testing