--- title: "langchain4j vs quivr" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain4j-langchain4j-vs-quivrhq-quivr" tools: ["langchain4j-langchain4j", "quivrhq-quivr"] --- # langchain4j vs quivr Neutral, constraint-first comparison with live GitHub stats. | | [langchain4j](/tools/langchain4j-langchain4j.md) | [quivr](/tools/quivrhq-quivr.md) | | --- | --- | --- | | Tagline | langchain4j: Idiomatic Java library for LLM-powered applications on JVM | Opiniated RAG for integrating GenAI in your apps | | Stars | 12,548 | 39,190 | | Forks | 2,359 | 3,719 | | Open issues | 784 | 29 | | Language | Java | Python | | Adopt for | LangChain4j is an open-source Java library designed for developing applications powered by LLMs, providing a unified API across multiple providers and vector stores. It integrates seamlessly with enterprise frameworks Qu | Quivr is an opinionated RAG framework for integrating Generative AI into apps, emphasizing customizability and compatibility with multiple LLMs and vectorstores. It allows for quick setup and customization to meet varied | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | LLM Frameworks | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchain4j](/tools/langchain4j-langchain4j.md) | [quivr](/tools/quivrhq-quivr.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 363d | | Open issues (now) | 784 | 29 | | Security scan | Not scanned | No lockfile | | Full report | [trust report](/tools/langchain4j-langchain4j/trust.md) | [trust report](/tools/quivrhq-quivr/trust.md) | **Typed relationship:** langchain4j _(alternative)_ quivr Both LangChain4j and Quivr provide tools to integrate LLMs into applications, offering RAG capabilities. However, they target different programming environments (Java for LangChain4j vs other languages potentially supported by Quivr). ## Shared compatibility - **Python**: [langchain4j](/tools/langchain4j-langchain4j.md) - Python runtime; [quivr](/tools/quivrhq-quivr.md) - Python runtime ## Decision facts: langchain4j - **Adopt for:** LangChain4j is an open-source Java library designed for developing applications powered by LLMs, providing a unified API across multiple providers and vector stores. It integrates seamlessly with enterprise frameworks Qu ## Decision facts: quivr - **Adopt for:** Quivr is an opinionated RAG framework for integrating Generative AI into apps, emphasizing customizability and compatibility with multiple LLMs and vectorstores. It allows for quick setup and customization to meet varied ## Choose when ### Choose langchain4j if… - langchain4j is primarily Java; quivr is Python. - License: langchain4j is Apache-2.0, quivr is Other. - Both LangChain4j and Quivr provide tools to integrate LLMs into applications, offering RAG capabilities. However, they target different programming environments (Java for LangChain4j vs other languages potentially supported by Quivr). - Tags unique to langchain4j: llms, vector-database, langchain, java. - - When you need to develop LLM-driven applications in the JVM environment. ### Choose quivr if… - quivr is primarily Python; langchain4j is Java. - License: quivr is Other, langchain4j is Apache-2.0. - Both LangChain4j and Quivr provide tools to integrate LLMs into applications, offering RAG capabilities. However, they target different programming environments (Java for LangChain4j vs other languages potentially supported by Quivr). - Tags unique to quivr: ai, rag, vector, api. - Also covers Data & Retrieval. - You need a customizable RAG solution that supports multiple types of files and can integrate easily with different LLMs. ## When NOT to use langchain4j - - Avoid using LangChain4j if you exclusively need a solution in non-JVM languages like Python or JavaScript. - - Do not choose this tool for projects that demand specific implementations of LLMs where the unified abstraction provided by LangChain4j is less beneficial. - - If your project does not require cross-compatibility between different LLM providers and vector stores, simpler implementation might suffice without adding complexity from a framework. ## When NOT to use quivr - If your application strictly demands a non-opinionated approach to RAG where every detail must be manually configured from scratch. - When you require proprietary or highly restricted licensing terms, as Quivr has a 'Other' license that may not align with these needs. - Your project is limited to only specific LLMs not compatible with Quivr's broad support, such as certain bespoke models not covered by its wide umbrella. ## Common questions ### What is the difference between langchain4j and quivr? langchain4j: langchain4j: Idiomatic Java library for LLM-powered applications on JVM. quivr: Opiniated RAG for integrating GenAI in your apps. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchain4j over quivr? Choose langchain4j over quivr when langchain4j is primarily Java; quivr is Python; License: langchain4j is Apache-2.0, quivr is Other; Both LangChain4j and Quivr provide tools to integrate LLMs into applications, offering RAG capabilities. However, they target different programming environments (Java for LangChain4j vs other languages potentially supported by Quivr); Tags unique to langchain4j: llms, vector-database, langchain, java; - When you need to develop LLM-driven applications in the JVM environment. ### When should I choose quivr over langchain4j? Choose quivr over langchain4j when quivr is primarily Python; langchain4j is Java; License: quivr is Other, langchain4j is Apache-2.0; Both LangChain4j and Quivr provide tools to integrate LLMs into applications, offering RAG capabilities. However, they target different programming environments (Java for LangChain4j vs other languages potentially supported by Quivr); Tags unique to quivr: ai, rag, vector, api; Also covers Data & Retrieval; You need a customizable RAG solution that supports multiple types of files and can integrate easily with different LLMs. ### When should I avoid langchain4j? - Avoid using LangChain4j if you exclusively need a solution in non-JVM languages like Python or JavaScript. - Do not choose this tool for projects that demand specific implementations of LLMs where the unified abstraction provided by LangChain4j is less beneficial. - If your project does not require cross-compatibility between different LLM providers and vector stores, simpler implementation might suffice without adding complexity from a framework. ### When should I avoid quivr? If your application strictly demands a non-opinionated approach to RAG where every detail must be manually configured from scratch. When you require proprietary or highly restricted licensing terms, as Quivr has a 'Other' license that may not align with these needs. Your project is limited to only specific LLMs not compatible with Quivr's broad support, such as certain bespoke models not covered by its wide umbrella. ### Is langchain4j or quivr more popular on GitHub? quivr has more GitHub stars (39,190 vs 12,548). Stars measure visibility, not whether either tool fits your constraints. ### Are langchain4j and quivr open source? Yes - both are open-source projects on GitHub (langchain4j: Apache-2.0, quivr: Other). ### Where can I find alternatives to langchain4j or quivr? GraphCanon lists graph-backed alternatives at /tools/langchain4j-langchain4j/alternatives and /tools/quivrhq-quivr/alternatives (/tools/langchain4j-langchain4j/alternatives.md, /tools/quivrhq-quivr/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 /compare/langchain4j-langchain4j-vs-quivrhq-quivr.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchain4j or quivr? langchain4j: Very active. quivr: 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 langchain4j and quivr? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain4j: /tools/langchain4j-langchain4j/trust; quivr: /tools/quivrhq-quivr/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langchain4j-langchain4j`](/api/graphcanon/graph?tool=langchain4j-langchain4j) - 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/_