GPT Researcher
Plan research questions, gather web or local-document evidence and draft a sourced report.
- Starting price
- $0 software licence
- Free access
- Self-managed edition
- Billing unit
- Compute / provider usage separate
- Platform
- Python / self-hosted web
- Verified
- 17 Oct 2026
Overview
What you provide
- You provide a research question, a source scope and model/search connections.
What you get
- You receive a research report with source links, exportable to PDF or Word.
Choosing this tool
Choose GPT Researcher when you need to inspect and customize the research pipeline rather than only receive a chat answer. The model, search and scraping routes are part of your operating cost. Choose Khoj for repeated personal-document questions or Haystack when you need to implement the retrieval pipeline in your own application.
A decision worked through
For a competitor report, set the question, allowed sources and cutoff date first. Audit a sample of final claims against their linked pages; collecting more sources does not establish that the synthesis is accurate.
GPT Researcher alternatives: choose an implementation route
For GPT Researcher, compare open-web report assembly with personal knowledge research and document-focused retrieval; the source scope is different.
| Product | Deployment requirements | Free allowance | Input → output | Key limit |
|---|---|---|---|---|
| GPT ResearcherRead profileOfficial source ↗ | Python 3.12+ service; configure an LLM and search provider. API-based research requires credentials and network access, not a bundled local model. | Self-managed edition | Research question, source scope and model/search connections → Research report with source links; export formats include PDF and Word | See the product-specific review limits below. |
| KhojRead profileOfficial source ↗ | Self-hosted personal search/research service; connect documents and a local or cloud model. Scheduled research also needs the relevant external sources. | Self-managed edition | Personal documents, questions and optional schedules → Semantic search results, answers and recurring research summaries | Self-hosted code uses AGPL-3.0; model and hosting costs are separate. Local and cloud model routes differ. Review connected-document and notification permissions. |
| RAGFlowRead profileOfficial source ↗ | Docker starting configuration: 4 CPU cores, 16 GB RAM and 50 GB disk. Connected LLM, embeddings and parsing workloads may require additional resources. | Self-managed edition | Documents, chunking settings, retrieval questions and model connections → Inspectable chunks, references and generated answers | Model, embedding, storage and parsing resources are separate cost drivers. Current documentation includes release-candidate setup; choose and pin a suitable release before production. |
Setup & workflow
- Configure the documented environment.
- Set provider budgets.
- Submit one narrow question.
- Inspect source collection.
- Verify claims before sharing.
Requirements & installation
- Python / self-hosted web
Limits & review
- Default setup documents model and search API keys. Research can make multiple calls; set provider budgets. Reports may contain stale or incorrectly interpreted evidence.
Your part
- Open the cited sources and check that each material claim is supported by the linked passage.
Sources & verification6
This profile is based on official sources, not a hands-on product test.
Vendor descriptions and demos document advertised features. Editorial guidance is based on these sources.
- GPT Researcher official READMEgithub.com
- GPT Researcher software licencegithub.com
- Khoj official READMEgithub.com
- Khoj software licencegithub.com
- RAGFlow official READMEgithub.com
- RAGFlow software licencegithub.com
