Comparison
haystack vs langchain4j
Verdict
Pick haystack if haystack is an open-source AI orchestration framework for building context-engineered LLM applications; 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.
Markdown twin · haystack alternatives · langchain4j alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | haystack | langchain4j |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Very active (1d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 1w · 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 |
Tagline
- haystack
- Open-source AI orchestration framework for building context-engineered LLM applications.
- langchain4j
- Java library for building LLM-powered applications on the JVM
Stars
- haystack
- 26k
- langchain4j
- 13k
Forks
- haystack
- 3.0k
- langchain4j
- 2.4k
Open issues
- haystack
- 108
- langchain4j
- 892
Language
- haystack
- Python
- langchain4j
- Java
Adopt for
- haystack
- Haystack is an open-source AI orchestration framework for building context-engineered LLM applications.
- 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
Persona
- haystack
- -
- langchain4j
- -
Runtime
- haystack
- -
- langchain4j
- -
License
- haystack
- Apache-2.0
- langchain4j
- Apache-2.0
Last pushed
- haystack
- Aug 1, 2026
- langchain4j
- Aug 6, 2026
Categories
- haystack
- AI Agents, Data & Retrieval, LLM Frameworks
- langchain4j
- LLM Frameworks, Vector Databases
Trust and health
Days since push
- haystack
- 0d
- langchain4j
- 1d
Open issues (now)
- haystack
- 108
- langchain4j
- 892
Stars delta
- haystack
- Unknown
- langchain4j
- +265 (30d)
Open issues delta
- haystack
- Unknown
- langchain4j
- +108 (30d)
Full report
- haystack
- Trust report
- langchain4j
- Trust report
Typed relationship
Choose haystack if…
- haystack is primarily Python; langchain4j is Java.
- Pricing: Free and open-source under the Apache-2.0 license, but users have to manage their own infrastructure and resources..
- Requirements: Min 4 GB RAM; Requires Docker.
- Haystack and LangChain4j both offer AI orchestration capabilities for integrating LLMs into real-world applications, making them alternatives tailored to different needs.
- Tags unique to haystack: agent, agents, ai, generative-ai.
- Also covers AI Agents, Data & Retrieval.
- You need explicit control over retrieval, routing, memory, and generation within your LLM application pipelines.
When NOT to use haystack
- You require integration with specific proprietary tools or frameworks not supported by Haystack.
- Your development team is not familiar with Python-based technologies, since Haystack primarily supports Python-based workflows.
- You are looking for a completely managed service rather than an open-source framework that requires more hands-on configuration and customization.
Choose langchain4j if…
- langchain4j is primarily Java; haystack is Python.
- Haystack and LangChain4j both offer AI orchestration capabilities for integrating LLMs into real-world applications, making them alternatives tailored to different needs.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (deepset-ai/haystack) · observed Aug 1, 2026
- GitHub forks (deepset-ai/haystack) · observed Aug 1, 2026
- Last push (deepset-ai/haystack) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (langchain4j/langchain4j) · observed Aug 8, 2026
- GitHub forks (langchain4j/langchain4j) · observed Aug 8, 2026
- Last push (langchain4j/langchain4j) · observed Aug 6, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: haystack 26k · langchain4j 13k (synced Aug 1, 2026).
Common questions
- What is the difference between haystack and langchain4j?
- haystack: Open-source AI orchestration framework for building context-engineered LLM applications.. langchain4j: Java library for building LLM-powered applications on the JVM. See the comparison table for live GitHub stats and shared categories.
- When should I choose haystack over langchain4j?
- Choose haystack over langchain4j when haystack is primarily Python; langchain4j is Java; Pricing: Free and open-source under the Apache-2.0 license, but users have to manage their own infrastructure and resources.; Requirements: Min 4 GB RAM; Requires Docker; Haystack and LangChain4j both offer AI orchestration capabilities for integrating LLMs into real-world applications, making them alternatives tailored to different needs; Tags unique to haystack: agent, agents, ai, generative-ai; Also covers AI Agents, Data & Retrieval; You need explicit control over retrieval, routing, memory, and generation within your LLM application pipelines.
- When should I choose langchain4j over haystack?
- Choose langchain4j over haystack when langchain4j is primarily Java; haystack is Python; Haystack and LangChain4j both offer AI orchestration capabilities for integrating LLMs into real-world applications, making them alternatives tailored to different needs; 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 avoid haystack?
- You require integration with specific proprietary tools or frameworks not supported by Haystack. Your development team is not familiar with Python-based technologies, since Haystack primarily supports Python-based workflows. You are looking for a completely managed service rather than an open-source framework that requires more hands-on configuration and customization.
- 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
- Is haystack or langchain4j more popular on GitHub?
- haystack has more GitHub stars (26,073 vs 12,813). Stars measure visibility, not whether either tool fits your constraints.
- Are haystack and langchain4j open source?
- Yes - both are open-source projects on GitHub (haystack: Apache-2.0, langchain4j: Apache-2.0).
- Where can I find alternatives to haystack or langchain4j?
- GraphCanon lists graph-backed alternatives at haystack alternatives and langchain4j alternatives (haystack markdown twin, langchain4j 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, haystack or langchain4j?
- haystack: Very active. langchain4j: Very 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 haystack and langchain4j?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: haystack trust report; langchain4j trust report.