Build an Auditable VC Research Agent with Perplexity
开发者利用 Perplexity Agent API、LangGraph 及 LangSmith evals 构建了一个可审计的 VC 研究代理。该代理能在约 90 秒内起草一份引用了来源的投资备忘录,成本约为 0.40 美元。此项目旨在通过上述技术栈实现高效且可验证的资本投资研究自动化流程。
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On August 26, 2026, LangChain Blog published an article titled “Build an Auditable VC Research Agent with Perplexity”, which introduced a verifiable venture capital research agent built using the LangChain framework and Perplexity AI technology. This agent aims to integrate multiple data sources and provide traceable and auditable investment analysis capabilities, addressing the issues of fragmented information and difficulty in verification in traditional research.
开发者利用 Perplexity Agent API、LangGraph 及 LangSmith evals 构建了一个可审计的 VC 研究代理。该代理能在约 90 秒内起草一份引用了来源的投资备忘录,成本约为 0.40 美元。此项目旨在通过上述技术栈实现高效且可验证的资本投资研究自动化流程。