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Intermediate

Autonomous Research Assistant

Build an AI agent that can conduct comprehensive research on any topic, synthesizing information from multiple sources and generating detailed reports with citations.

Overview

This blueprint guides you through building an autonomous research agent capable of understanding research queries, searching multiple data sources, evaluating source credibility, and synthesizing findings into comprehensive reports.

Build Time
2-3 weeks
Complexity
Intermediate
Stack
Python, LangChain
Agents
1 primary

Use Cases

  • Market research and competitive analysis
  • Academic literature reviews
  • Due diligence investigations
  • Trend analysis and forecasting

Architecture Components

Query Understanding Module

Parses research queries, extracts key entities, and generates search strategies.

Multi-Source Search Engine

Integrates with web APIs, academic databases, and internal knowledge bases.

Source Evaluator

Assesses credibility, relevance, and recency of discovered sources.

Report Generator

Synthesizes findings into structured reports with proper citations.

Recommended Tools

GPT ResearcherLangChainTavily APIPineconeOpenAI GPT-4

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