deep-research-agent

Multi-source research with citation tracking is coordinated through a structured 5-phase workflow encompassing planning, collection, synthesis, knowledge graph construction, and reporting. It automatically attributes sources across web, documentation, and code data collection.

Yes, you can generate a knowledge graph in JSON format from multiple research sources. The workflow maps concepts, relationships, and hierarchies during the synthesis phase to structure the collected data into a formal knowledge graph output.

The best way to validate information across multiple research sources is through cross-source validation during the synthesis phase. This process cross-references collected data from web, documentation, and code to ensure credibility before generating formal outputs.

An end-to-end research workflow is structured using a 5-phase process: planning, multi-source data collection, synthesis, knowledge graph construction, and reporting. Providing a topic or question initiates this workflow to produce comprehensive research outputs.

Multi-source research synthesis supports flexible output formats including Markdown reports, knowledge graphs in JSON, and citation databases. These formats are generated during the reporting phase to support credible decision making.

Yes, this research workflow applies to topics across technology, academia, and business. It handles planning, data collection, synthesis, and reporting with cross-source validation to satisfy diverse end-to-end workflow requirements.