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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 an opinionated RAG tool that simplifies GenAI integration into applications, supporting multiple LLMs and vector stores. Its framework.

Markdown twin · langchain4j alternatives · quivr alternatives

GraphCanon updated 5d

langchain4j logo

langchain4j

langchain4j/langchain4j

★ 13kpushed Aug 6, 2026
vs
quivr logo

quivr

QuivrHQ/quivr

★ 39kpushed Jul 9, 2025

Trust & integrity

Signallangchain4jquivr
Maintenance
Very active (1d since push)
As of 1w · github_public_v1
Dormant (402d since push)
As of 5d · github_public_v1
Provenance
Not a fork · Organization account
As of 1w · github_public_v1
Not a fork · Organization account
As of 5d · 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
langchain4j trust reportquivr trust reportTrust methodology

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
39k

Forks

langchain4j
2.4k
quivr
3.7k

Open issues

langchain4j
892
quivr
36

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 an opinionated RAG tool that simplifies GenAI integration into applications, supporting multiple LLMs and vector stores. Its framework allows for customization to fit various product needs.

Persona

langchain4j
-
quivr
-

Runtime

langchain4j
-
quivr
-

License

langchain4j
Apache-2.0
quivr
Other

Last pushed

langchain4j
Aug 6, 2026
quivr
Jul 9, 2025

Categories

langchain4j
LLM Frameworks, Vector Databases
quivr
AI Agents, Data & Retrieval

Trust and health

Maintenance

langchain4j
Very active (96%)
quivr
Dormant (18%)

Days since push

langchain4j
1d
quivr
402d

Open issues (now)

langchain4j
892
quivr
36

Stars delta

langchain4j
+265 (30d)
quivr
+188 (30d)

Open issues delta

langchain4j
+108 (30d)
quivr
+5 (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 LLM Frameworks, 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
GitHubDetails

Choose quivr if…

  • quivr is primarily Python; langchain4j is Java.
  • License: quivr is Other, langchain4j is Apache-2.0.
  • Pricing: The pricing details for Quivr are currently unshared..
  • Requirements: Min 4 GB RAM; Requires Docker.
  • 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, framework.
  • Also covers AI Agents, Data & Retrieval.
  • When you need a straightforward way to integrate GenAI functionalities without deep expertise in the underlying technologies

When NOT to use quivr

  • When the need arises for a tool that provides extensive control over every aspect of the RAG setup due to Quivr's opinionated nature
  • For organizations that require integration with very niche or non-supported LLMs and vector stores not mentioned in Quivr’s framework
GitHubDetails

Explore

langchain4j trust report →quivr trust report →LLM Frameworks category →Vector Databases category →AI Agents category →Data & Retrieval category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: langchain4j 13k · quivr 39k (synced Aug 8, 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 LLM Frameworks, 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 pricing details for Quivr are currently unshared.; Requirements: Min 4 GB RAM; Requires Docker; 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, framework; Also covers AI Agents, Data & Retrieval; When you need a straightforward way to integrate GenAI functionalities without deep expertise in the underlying technologies.
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?
When the need arises for a tool that provides extensive control over every aspect of the RAG setup due to Quivr's opinionated nature For organizations that require integration with very niche or non-supported LLMs and vector stores not mentioned in Quivr’s framework
Is langchain4j or quivr more popular on GitHub?
quivr has more GitHub stars (39,401 vs 12,813). 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: Dormant. 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.

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