Autonomous research agents

    Agents that plan research tasks, search across sources, synthesize findings, and return cited summaries with minimal human steering.

    Muhammad Zeeshan

    Technologies Used

    LangGraph
    LangChain
    Python
    RAG
    LLMs

    Key Features

    1

    Multi-step research planning and query decomposition

    2

    Source gathering with citation tracking

    3

    Structured synthesis with evidence links

    Implementation

    Built agent loops with tool routing for web and document retrieval, grounding outputs in retrieved passages before synthesis.

    Results & Impact

    Reduced manual research time for literature reviews and competitive scans across AI engineering workflows.