Comparison
ChatFiles vs deep-searcher
Verdict
Pick ChatFiles if chatFiles uses GPT and embedding technologies with LangchainJS for document interaction via a Supabase vector database; pick deep-searcher if deepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license.
Markdown twin · ChatFiles alternatives · deep-searcher alternatives
GraphCanon updated 6d
vs
Trust & integrity
| Signal | ChatFiles | deep-searcher |
|---|---|---|
| Maintenance | Dormant (605d since push) As of 1w · github_public_v1 | Slowing (272d since push) As of 6d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 6d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- ChatFiles
- Document Chatbot powered by GPT and Embedding
- deep-searcher
- Open Source Deep Research Alternative to Reason and Search on Private Data.
Stars
- ChatFiles
- 3.3k
- deep-searcher
- 8.1k
Forks
- ChatFiles
- 464
- deep-searcher
- 775
Open issues
- ChatFiles
- 18
- deep-searcher
- 53
Language
- ChatFiles
- TypeScript
- deep-searcher
- Python
Adopt for
- ChatFiles
- ChatFiles uses GPT and embedding technologies with LangchainJS for document interaction via a Supabase vector database.
- deep-searcher
- DeepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license.
Persona
- ChatFiles
- -
- deep-searcher
- -
Runtime
- ChatFiles
- -
- deep-searcher
- -
License
- ChatFiles
- MIT
- deep-searcher
- Apache-2.0
Last pushed
- ChatFiles
- Dec 17, 2024
- deep-searcher
- Nov 19, 2025
Categories
- ChatFiles
- AI Agents, Vector Databases
- deep-searcher
- AI Agents, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- ChatFiles
- Dormant (18%)
- deep-searcher
- Slowing (36%)
Days since push
- ChatFiles
- 605d
- deep-searcher
- 272d
Open issues (now)
- ChatFiles
- 18
- deep-searcher
- 53
Stars delta
- ChatFiles
- -3 (30d)
- deep-searcher
- +59 (30d)
Owner type
- ChatFiles
- User
- deep-searcher
- Organization
Full report
- ChatFiles
- Trust report
- deep-searcher
- Trust report
Choose ChatFiles if…
- ChatFiles is primarily TypeScript; deep-searcher is Python.
- License: ChatFiles is MIT, deep-searcher is Apache-2.0.
- Pricing: Available under the MIT license, it is free to use. However, users might incur costs for hosting with Vercel and database usage on Supabase..
- Requirements: Local setup requires setting environment variables as outlined in the documentation..
- Tags unique to ChatFiles: chatbot, embedding, gpt-api, supabase.
- You need to integrate file-based conversations into your web apps using TypeScript.
When NOT to use ChatFiles
- If you aim to use languages other than TypeScript for your document chatbot functionality.
- Your deployment preferences prioritize platforms other than Vercel, which is highlighted in ChatFiles' documentation.
- The project does not require or benefit from the specific combination of LangchainJS and Supabase as provided by this tool.
Choose deep-searcher if…
- deep-searcher is primarily Python; ChatFiles is TypeScript.
- License: deep-searcher is Apache-2.0, ChatFiles is MIT.
- Tags unique to deep-searcher: agent, agentic-rag, deep-research, llm.
- Also covers LLM Frameworks.
- When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3.
When NOT to use deep-searcher
- Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems.
- Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (guangzhengli/ChatFiles) · observed Aug 15, 2026
- GitHub forks (guangzhengli/ChatFiles) · observed Aug 15, 2026
- Last push (guangzhengli/ChatFiles) · observed Dec 17, 2024
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zilliztech/deep-searcher) · observed Aug 18, 2026
- GitHub forks (zilliztech/deep-searcher) · observed Aug 18, 2026
- Last push (zilliztech/deep-searcher) · observed Nov 19, 2025
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ChatFiles 3.3k · deep-searcher 8.1k (synced Aug 15, 2026).
Common questions
- What is the difference between ChatFiles and deep-searcher?
- ChatFiles: Document Chatbot powered by GPT and Embedding. deep-searcher: Open Source Deep Research Alternative to Reason and Search on Private Data.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ChatFiles over deep-searcher?
- Choose ChatFiles over deep-searcher when ChatFiles is primarily TypeScript; deep-searcher is Python; License: ChatFiles is MIT, deep-searcher is Apache-2.0; Pricing: Available under the MIT license, it is free to use. However, users might incur costs for hosting with Vercel and database usage on Supabase.; Requirements: Local setup requires setting environment variables as outlined in the documentation.; Tags unique to ChatFiles: chatbot, embedding, gpt-api, supabase; You need to integrate file-based conversations into your web apps using TypeScript.
- When should I choose deep-searcher over ChatFiles?
- Choose deep-searcher over ChatFiles when deep-searcher is primarily Python; ChatFiles is TypeScript; License: deep-searcher is Apache-2.0, ChatFiles is MIT; Tags unique to deep-searcher: agent, agentic-rag, deep-research, llm; Also covers LLM Frameworks; When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3.
- When should I avoid ChatFiles?
- If you aim to use languages other than TypeScript for your document chatbot functionality. Your deployment preferences prioritize platforms other than Vercel, which is highlighted in ChatFiles' documentation. The project does not require or benefit from the specific combination of LangchainJS and Supabase as provided by this tool.
- When should I avoid deep-searcher?
- Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems. Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily.
- Is ChatFiles or deep-searcher more popular on GitHub?
- deep-searcher has more GitHub stars (8,060 vs 3,341). Stars measure visibility, not whether either tool fits your constraints.
- Are ChatFiles and deep-searcher open source?
- Yes - both are open-source projects on GitHub (ChatFiles: MIT, deep-searcher: Apache-2.0).
- Where can I find alternatives to ChatFiles or deep-searcher?
- GraphCanon lists graph-backed alternatives at ChatFiles alternatives and deep-searcher alternatives (ChatFiles markdown twin, deep-searcher markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, ChatFiles or deep-searcher?
- ChatFiles: Dormant. deep-searcher: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for ChatFiles and deep-searcher?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ChatFiles trust report; deep-searcher trust report.