--- title: "ChatFiles vs deep-searcher" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/guangzhengli-chatfiles-vs-zilliztech-deep-searcher" tools: ["guangzhengli-chatfiles", "zilliztech-deep-searcher"] --- # ChatFiles vs deep-searcher *GraphCanon updated Jul 12, 2026* ## Verdict Pick ChatFiles when chatFiles is primarily TypeScript; deep-searcher is Python; pick deep-searcher when deep-searcher is primarily Python; ChatFiles is TypeScript. [ChatFiles](https://github.com/guangzhengli/ChatFiles) reports 3.3k GitHub stars, 465 forks, and 18 open issues, last pushed Dec 17, 2024. [deep-searcher](https://zilliztech.github.io/deep-searcher/) has 7.9k stars, 768 forks, and 53 open issues, last pushed Nov 19, 2025. Figures are from public GitHub metadata via [ChatFiles's repository](https://github.com/guangzhengli/ChatFiles) and [deep-searcher's repository](https://github.com/zilliztech/deep-searcher). | | [ChatFiles](/tools/guangzhengli-chatfiles.md) | [deep-searcher](/tools/zilliztech-deep-searcher.md) | | --- | --- | --- | | Tagline | Document Chatbot — multiple files. Powered by GPT / Embedding. | Open Source Deep Research Alternative to Reason and Search on Private Data. | | Stars | 3,344 | 7,941 | | Forks | 465 | 768 | | Open issues | 18 | 53 | | Language | TypeScript | Python | | Adopt for | - | 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 | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks, Vector Databases | AI Agents, LLM Frameworks, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ChatFiles](/tools/guangzhengli-chatfiles.md) | [deep-searcher](/tools/zilliztech-deep-searcher.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 571d | 234d | | Open issues (now) | 18 | 53 | | Owner type | User | Organization | | Full report | [trust report](/tools/guangzhengli-chatfiles/trust.md) | [trust report](/tools/zilliztech-deep-searcher/trust.md) | ## Decision facts: deep-searcher - **Adopt for:** 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. ## Choose when ### Choose ChatFiles if… - ChatFiles is primarily TypeScript; deep-searcher is Python. - License: ChatFiles is MIT, deep-searcher is Apache-2.0. - Tags unique to ChatFiles: chatbot, chatfile, chatgpt, chatgpt-api. - Also covers Inference & Serving. ### 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 AI Agents. - 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 ChatFiles - Last GitHub push was 572 days ago (dormant maintenance, Dec 17, 2024). Validate activity before betting a new project on ChatFiles. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## 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. ## Common questions ### What is the difference between ChatFiles and deep-searcher? ChatFiles: Document Chatbot — multiple files. Powered by GPT / 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; Tags unique to ChatFiles: chatbot, chatfile, chatgpt, chatgpt-api; Also covers Inference & Serving. ### 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 AI Agents; 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? Last GitHub push was 572 days ago (dormant maintenance, Dec 17, 2024). Validate activity before betting a new project on ChatFiles. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### 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 (7,941 vs 3,344). 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](/tools/guangzhengli-chatfiles/alternatives) and [deep-searcher alternatives](/tools/zilliztech-deep-searcher/alternatives) ([ChatFiles markdown twin](/tools/guangzhengli-chatfiles/alternatives.md), [deep-searcher markdown twin](/tools/zilliztech-deep-searcher/alternatives.md)), 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](/compare/guangzhengli-chatfiles-vs-zilliztech-deep-searcher.md) 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](/tools/guangzhengli-chatfiles/trust); [deep-searcher trust report](/tools/zilliztech-deep-searcher/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=guangzhengli-chatfiles`](/api/graphcanon/graph?tool=guangzhengli-chatfiles) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_