langchain-ai / open_deep_research

TL;DR

Deep research has emerged as a leading application for AI agents, providing a fully open-source solution that integrates with various model providers and search tools. This agent is designed for configurability and performance, matching the capabilities of established deep research agents.

✦ Why It Matters

Engineers can start building their own deep research agents today using the open_deep_research framework and free course resources.

Key Takeaways

Clone the repository and set up a virtual environment.
Customize your environment using the .env file.
Evaluate models against the Deep Research Bench tasks.
Utilize the LangGraph Studio UI for agent configuration.

How It Works

Open Deep Research operates by integrating various language models through the init_chat_model() API, allowing it to perform tasks like summarization and report generation. Users can select from multiple models and configure their research environment to suit specific needs, leveraging the LangGraph Studio UI for an intuitive experience.

langchain-ai / open_deep_research

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