head to head · open source

faiss vs langchain4j

faiss has 40,929 GitHub stars, 4,526 forks, 327 open issues and last shipped yesterday. langchain4j has 13,121 stars, 2,557 forks, 878 open issues and last shipped 3 days ago. faiss leads on adoption by 212% (40,929 vs 13,121 stars). faiss is written in C++ under MIT; langchain4j is written in Java under Apache-2.0. faiss has attracted 11% as many forks as stars, langchain4j 19%. faiss was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

faiss ★ 41K langchain4j ★ 13K category AI & Machine Learning

← all 13541 open source comparisons

Side by side

faiss langchain4j
GitHub stars ★ 41K ★ 13K
License MIT Apache-2.0
Written in C++ Java
Last push 2026-09-18 2026-09-16
Forks ⑂ 4.5K ⑂ 2.6K
Self-hosting Yes Yes
Data ownership Your server Your server

pick faiss if

  • You weight community size — 41K stars and counting
  • You want the MIT license terms
  • Your stack matches C++
  • You value the larger contributor base for long-term maintenance

full faiss profile →

pick langchain4j if

  • You want the langchain4j feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Java
  • You evaluated both and langchain4j fits your workflow better

full langchain4j profile →

About faiss

Faiss is an MIT licensed C++ library for efficient similarity search and clustering of dense vectors, with complete Python and NumPy wrappers, developed primarily at Meta's Fundamental AI Research group, and it is intended for engineers and researchers who need nearest neighbour search over vector sets that range from small collections to sets that possibly do not fit in RAM.

read the full faiss overview →

About langchain4j

LangChain4j is an Apache 2.0, open source, idiomatic Java library for building LLM powered applications on the JVM, aimed at Java developers and enterprise teams who want one unified API over many LLM providers and embedding stores without leaving the Java ecosystem.

read the full langchain4j overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

Related comparisons

openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all llama-cpp vs vllm openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm hermes-agent vs opencode hermes-agent vs n8n openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail

More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

faiss vs Ollama faiss vs llama.cpp faiss vs vllm faiss vs GPT4All faiss vs llama_index faiss vs LocalAI faiss vs PageIndex faiss vs Langfuse faiss vs cognee faiss vs taipy faiss vs dagster faiss vs zvec

Frequently asked questions

Is faiss or langchain4j more popular?

faiss has 40,929 GitHub stars and langchain4j has 13,121. faiss has the larger community by that measure.

Are faiss and langchain4j free?

Both are open source. faiss is licensed under MIT and langchain4j under Apache-2.0. Neither carries a licence fee.

What is the difference between faiss and langchain4j?

faiss is written in C++ and langchain4j in Java. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, faiss or langchain4j?

Choose faiss if you want the larger community (40,929 stars) or its MIT licence terms. Choose langchain4j if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.