Comparison
langchain4j vs quivr
Verdict
Pick langchain4j if langChain4j is a Java library for building applications utilizing Large Language Models (LLMs) on the JVM. It provides a unified API over various LLM providers and vector stores to simplify tool calling, agent creation,R; pick quivr if quivr is a Python-based framework for integrating generative AI into applications, supporting various LLMs and vectorstores, with a focus on.
Markdown twin · langchain4j alternatives · quivr alternatives
GraphCanon updated Sep 20, 2026
17views this month
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Trust & integrity
| Signal | langchain4j | quivr |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 8, 2026 · github_public_v1 | Active (17d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 8, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · 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
- langchain4j
- Java library for building LLM-powered applications on the JVM
- quivr
- Opiniated RAG for integrating GenAI in your apps
Stars
- langchain4j
- 13k
- quivr
- 40k
Forks
- langchain4j
- 2.5k
- quivr
- 3.7k
Open issues
- langchain4j
- 903
- quivr
- 34
Language
- langchain4j
- Java
- quivr
- Python
Adopt for
- langchain4j
- LangChain4j is a Java library for building applications utilizing Large Language Models (LLMs) on the JVM. It provides a unified API over various LLM providers and vector stores to simplify tool calling, agent creation,R
- quivr
- Quivr is a Python-based framework for integrating generative AI into applications, supporting various LLMs and vectorstores, with a focus on customization and ease of integration.
Persona
- langchain4j
- -
- quivr
- -
Runtime
- langchain4j
- -
- quivr
- -
License
- langchain4j
- Apache-2.0
- quivr
- Quivr is licensed under the Apache 2.0 License.
Last pushed
- langchain4j
- Sep 7, 2026
- quivr
- Aug 31, 2026
Categories
- langchain4j
- LLM Frameworks, Vector Databases
- quivr
- Data & Retrieval, Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- langchain4j
- Very active (96%)
- quivr
- Active (82%)
Days since push
- langchain4j
- 0d
- quivr
- 17d
Open issues (now)
- langchain4j
- 903
- quivr
- 34
Stars delta
- langchain4j
- +226 (30d)
- quivr
- +132 (30d)
Open issues delta
- langchain4j
- +11 (30d)
- quivr
- -2 (30d)
Full report
- langchain4j
- Trust report
- quivr
- Trust report
Typed relationship
langchain4j alternative quivrBoth 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).
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: anthropic, chatgpt, chroma, embeddings.
- Also covers Vector Databases.
- If you are working in a Java environment and aim to integrate Large Language Models into your applications
When NOT to use langchain4j
- Avoid if your project exclusively uses languages other than Java, as LangChain4j is specifically designed for Java-based projects on the JVM
- If you require a framework that heavily supports non-JVM based large language models and doesn't integrate well with modern enterprise Java frameworks like Quarkus or Spring Boot
Choose quivr if…
- quivr is primarily Python; langchain4j is Java.
- License: quivr is Other, langchain4j is Apache-2.0.
- Pricing: The core framework is free to use under the Apache 2.0 License, but additional services or support might incur costs..
- Requirements: Min 2 GB RAM; Python environment is required.; Installation is straightforward with pip..
- 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, api, chatbot, database.
- Also covers Data & Retrieval, Inference & Serving.
- When you need to integrate generative AI into your applications with support for multiple LLMs like GPT4, Groq, and Llama.
When NOT to use quivr
- If you are looking for a framework that enforces a strict, non-customizable approach to integrating generative AI.
- When your project requires a framework that supports only a specific set of LLMs or vectorstores, and you do not need the flexibility to switch between them.
- If your application does not require the level of customization and flexibility that Quivr offers, and a more rigid framework would suffice.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langchain4j/langchain4j) · observed Sep 20, 2026
- GitHub forks (langchain4j/langchain4j) · observed Sep 20, 2026
- Last push (langchain4j/langchain4j) · observed Sep 7, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (The-Vibe-Company/quivr) · observed Sep 20, 2026
- GitHub forks (The-Vibe-Company/quivr) · observed Sep 20, 2026
- Last push (The-Vibe-Company/quivr) · observed Aug 31, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: langchain4j 13k · quivr 40k (synced Sep 20, 2026).
Common questions
- What is the difference between langchain4j and quivr?
- langchain4j: Java library for building LLM-powered applications on the 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: anthropic, chatgpt, chroma, embeddings; Also covers Vector Databases; If you are working in a Java environment and aim to integrate Large Language Models into your applications.
- 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; Pricing: The core framework is free to use under the Apache 2.0 License, but additional services or support might incur costs.; Requirements: Min 2 GB RAM; Python environment is required.; Installation is straightforward with pip.; 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, api, chatbot, database; Also covers Data & Retrieval, Inference & Serving; When you need to integrate generative AI into your applications with support for multiple LLMs like GPT4, Groq, and Llama.
- When should I avoid langchain4j?
- Avoid if your project exclusively uses languages other than Java, as LangChain4j is specifically designed for Java-based projects on the JVM If you require a framework that heavily supports non-JVM based large language models and doesn't integrate well with modern enterprise Java frameworks like Quarkus or Spring Boot
- When should I avoid quivr?
- If you are looking for a framework that enforces a strict, non-customizable approach to integrating generative AI. When your project requires a framework that supports only a specific set of LLMs or vectorstores, and you do not need the flexibility to switch between them. If your application does not require the level of customization and flexibility that Quivr offers, and a more rigid framework would suffice.
- Is langchain4j or quivr more popular on GitHub?
- quivr has more GitHub stars (39,533 vs 13,039). 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 langchain4j alternatives and quivr alternatives (langchain4j markdown twin, quivr 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, langchain4j or quivr?
- langchain4j: Very active. quivr: Active. 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 trust report; quivr trust report.