Khoj
Search personal documents and the web, chat with models, and configure recurring research assistants.
- Starting price
- $0 software licence
- Free access
- Self-managed edition
- Billing unit
- Compute / provider usage separate
- Platform
- Self-hosted web + integrations
- Verified
- 17 Oct 2026
Overview
What you provide
- You provide personal documents, questions and optional schedules.
What you get
- You receive semantic search results, answers and recurring research summaries.
Choosing this tool
Choose Khoj for a continuing personal knowledge workflow across documents and recurring questions. Choose GPT Researcher when a single sourced report is the output; choose AnythingLLM when workspace-level document organization is the primary need.
A decision worked through
Start with one folder and a weekly research question. Check whether deleted or changed files are reflected before enabling recurring summaries; an old index can produce confident answers from outdated material.
Khoj alternatives: choose an implementation route
For Khoj, compare recurring personal-knowledge research with standalone research reports and document workspaces.
| Product | Deployment requirements | Free allowance | Input → output | Key limit |
|---|---|---|---|---|
| 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 | See the product-specific review limits below. |
| 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 | Default setup documents model and search API keys. Research can make multiple calls; set provider budgets. Reports may contain stale or incorrectly interpreted evidence. |
| AnythingLLMRead profileOfficial source ↗ | Desktop installer for one user; Docker for shared workspaces and the website widget. RAM and GPU needs depend on the chosen model and embeddings. | Self-managed edition | Documents, workspace rules and model/embedding connections → Document-grounded answers and optional agent actions | LLM, embedding and vector-store choices determine where data goes and what costs accrue. Retrieved citations still need checking; multi-user capabilities differ by edition. |
Setup & workflow
- Choose self-hosting setup.
- Connect a model.
- Add a small document set.
- Inspect retrieval.
- Enable one scoped recurring task.
Requirements & installation
- Self-hosted web + integrations
Limits & review
- 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.
Your part
- Check the scope and recipients of a scheduled research result before enabling recurrence.
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.
- Khoj official READMEgithub.com
- Khoj software licencegithub.com
- GPT Researcher official READMEgithub.com
- GPT Researcher software licencegithub.com
- AnythingLLM official READMEgithub.com
- AnythingLLM software licencegithub.com
