--- title: "evidentiality_qa vs Langchain-Chatchat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/akariasai-evidentiality-qa-vs-chatchat-space-langchain-chatchat" tools: ["akariasai-evidentiality-qa", "chatchat-space-langchain-chatchat"] --- # evidentiality_qa vs Langchain-Chatchat *GraphCanon updated Sep 20, 2026* ## Verdict Pick evidentiality_qa if evidentiality_qa is a Python-based model that integrates evidentiality into training for knowledge-intensive NLP tasks, such as open question answering, fact verification, and knowledge-enhanced dialogue, using multi-tas; pick Langchain-Chatchat if langchain-Chatchat is a local knowledge-based application that integrates RAG and Agent functionalities using Langchain and various language models like ChatGLM, Qwen, and Llama. [evidentiality_qa](https://github.com/AkariAsai/evidentiality_qa) reports 44 GitHub stars, 0 forks, and 2 open issues, last pushed Dec 25, 2022. [Langchain-Chatchat](https://github.com/chatchat-space/Langchain-Chatchat) has 39k stars, 6.3k forks, and 26 open issues, last pushed Nov 10, 2025. Figures are from public GitHub metadata via [evidentiality_qa's repository](https://github.com/AkariAsai/evidentiality_qa) and [Langchain-Chatchat's repository](https://github.com/chatchat-space/Langchain-Chatchat). | | [evidentiality_qa](/tools/akariasai-evidentiality-qa.md) | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | | --- | --- | --- | | Tagline | Evidentiality-guided Generator for Knowledge-Intensive NLP Tasks | Local knowledge-based LLM RAG and Agent app with Langchain | | Stars | 44 | 38,644 | | Forks | 0 | 6,265 | | Open issues | 2 | 26 | | Language | Python | Python | | Adopt for | Evidentiality_qa is a Python-based model that integrates evidentiality into training for knowledge-intensive NLP tasks, such as open question answering, fact verification, and knowledge-enhanced dialogue, using multi-tas | Langchain-Chatchat is a local knowledge-based application that integrates RAG and Agent functionalities using Langchain and various language models like ChatGLM, Qwen, and Llama. | | Persona | - | - | | Runtime | - | - | | License | MIT License | Apache-2.0 | | Categories | Data & Retrieval, Model Training | AI Agents, Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [evidentiality_qa](/tools/akariasai-evidentiality-qa.md) | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 1362d | 311d | | Open issues (now) | 2 | 26 | | Stars delta | 0 (30d) | +122 (30d) | | Open issues delta | 0 (30d) | +1 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/akariasai-evidentiality-qa/trust.md) | [trust report](/tools/chatchat-space-langchain-chatchat/trust.md) | ## Decision facts: evidentiality_qa - **Requirements:** Min 8 GB RAM; The model requires access to silver evidentiality data for training.; Training involves a multi-step process including training a base Fusion-in-Decoder model and a separate evidentiality labeling model. - **Adopt for:** Evidentiality_qa is a Python-based model that integrates evidentiality into training for knowledge-intensive NLP tasks, such as open question answering, fact verification, and knowledge-enhanced dialogue, using multi-tas - **License detail:** MIT License ## Decision facts: Langchain-Chatchat - **Adopt for:** Langchain-Chatchat is a local knowledge-based application that integrates RAG and Agent functionalities using Langchain and various language models like ChatGLM, Qwen, and Llama. ## Choose when ### Choose evidentiality_qa if… - License: evidentiality_qa is MIT, Langchain-Chatchat is Apache-2.0. - Requirements: Min 8 GB RAM; The model requires access to silver evidentiality data for training.; Training involves a multi-step process including training a base Fusion-in-Decoder model and a separate evidentiality labeling model.. - Tags unique to evidentiality_qa: evidentiality, fine-tuned models, knowledge-intensive tasks, multi-task learning. - Also covers Model Training. - Use evidentiality_qa when you need to improve performance on knowledge-intensive NLP tasks that require the model to generate answers based on evidence from retrieved passages. ### Choose Langchain-Chatchat if… - License: Langchain-Chatchat is Apache-2.0, evidentiality_qa is MIT. - Tags unique to Langchain-Chatchat: chatbot, chatchat, chatglm, chatgpt. - Also covers AI Agents, LLM Frameworks. - When you need a local deployment of a knowledge-based application that supports multiple language models including ChatGLM, Qwen, and Llama. ## When NOT to use evidentiality_qa - Avoid using evidentiality_qa if your task does not involve knowledge-intensive NLP tasks that require evidence-based reasoning. - Do not use evidentiality_qa if you lack the necessary silver evidentiality data for training, as the model relies on this data to predict evidentiality and generate answers. ## When NOT to use Langchain-Chatchat - If you are looking for a cloud-based solution that does not require local deployment and management. - When your project specifically requires a different set of language models that are not supported by Langchain-Chatchat, such as models that are not listed in its documentation. - If your use case does not benefit from the integration of RAG and Agent functionalities, and you are looking for a simpler chatbot solution. - When you need a solution that is tightly integrated with a specific cloud provider's services, as Langchain-Chatchat is designed for local deployment and may not offer the same level of integration. ## Common questions ### What is the difference between evidentiality_qa and Langchain-Chatchat? evidentiality_qa: Evidentiality-guided Generator for Knowledge-Intensive NLP Tasks. Langchain-Chatchat: Local knowledge-based LLM RAG and Agent app with Langchain. See the comparison table for live GitHub stats and shared categories. ### When should I choose evidentiality_qa over Langchain-Chatchat? Choose evidentiality_qa over Langchain-Chatchat when License: evidentiality_qa is MIT, Langchain-Chatchat is Apache-2.0; Requirements: Min 8 GB RAM; The model requires access to silver evidentiality data for training.; Training involves a multi-step process including training a base Fusion-in-Decoder model and a separate evidentiality labeling model.; Tags unique to evidentiality_qa: evidentiality, fine-tuned models, knowledge-intensive tasks, multi-task learning; Also covers Model Training; Use evidentiality_qa when you need to improve performance on knowledge-intensive NLP tasks that require the model to generate answers based on evidence from retrieved passages. ### When should I choose Langchain-Chatchat over evidentiality_qa? Choose Langchain-Chatchat over evidentiality_qa when License: Langchain-Chatchat is Apache-2.0, evidentiality_qa is MIT; Tags unique to Langchain-Chatchat: chatbot, chatchat, chatglm, chatgpt; Also covers AI Agents, LLM Frameworks; When you need a local deployment of a knowledge-based application that supports multiple language models including ChatGLM, Qwen, and Llama. ### When should I avoid evidentiality_qa? Avoid using evidentiality_qa if your task does not involve knowledge-intensive NLP tasks that require evidence-based reasoning. Do not use evidentiality_qa if you lack the necessary silver evidentiality data for training, as the model relies on this data to predict evidentiality and generate answers. ### When should I avoid Langchain-Chatchat? If you are looking for a cloud-based solution that does not require local deployment and management. When your project specifically requires a different set of language models that are not supported by Langchain-Chatchat, such as models that are not listed in its documentation. If your use case does not benefit from the integration of RAG and Agent functionalities, and you are looking for a simpler chatbot solution. When you need a solution that is tightly integrated with a specific cloud provider's services, as Langchain-Chatchat is designed for local deployment and may not offer the same level of integration. ### Is evidentiality_qa or Langchain-Chatchat more popular on GitHub? Langchain-Chatchat has more GitHub stars (38,644 vs 44). Stars measure visibility, not whether either tool fits your constraints. ### Are evidentiality_qa and Langchain-Chatchat open source? Yes - both are open-source projects on GitHub (evidentiality_qa: MIT, Langchain-Chatchat: Apache-2.0). ### Where can I find alternatives to evidentiality_qa or Langchain-Chatchat? GraphCanon lists graph-backed alternatives at [evidentiality_qa alternatives](/tools/akariasai-evidentiality-qa/alternatives) and [Langchain-Chatchat alternatives](/tools/chatchat-space-langchain-chatchat/alternatives) ([evidentiality_qa markdown twin](/tools/akariasai-evidentiality-qa/alternatives.md), [Langchain-Chatchat markdown twin](/tools/chatchat-space-langchain-chatchat/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/akariasai-evidentiality-qa-vs-chatchat-space-langchain-chatchat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, evidentiality_qa or Langchain-Chatchat? evidentiality_qa: Dormant. Langchain-Chatchat: 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 evidentiality_qa and Langchain-Chatchat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [evidentiality_qa trust report](/tools/akariasai-evidentiality-qa/trust); [Langchain-Chatchat trust report](/tools/chatchat-space-langchain-chatchat/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=akariasai-evidentiality-qa`](/api/graphcanon/graph?tool=akariasai-evidentiality-qa) - 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/_