head to head · open source

Ollama vs faiss

Ollama has 181,184 GitHub stars, 17,921 forks, 3,957 open issues and last shipped 2 days ago. faiss has 40,929 stars, 4,526 forks, 327 open issues and last shipped yesterday. Ollama leads on adoption by 343% (181,184 vs 40,929 stars). Ollama is written in Go under MIT; faiss is written in C++ under MIT. Ollama has attracted 10% as many forks as stars, faiss 11%. 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.

Ollama ★ 181K faiss ★ 41K category AI & Machine Learning

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Side by side

Ollama faiss
GitHub stars ★ 181K ★ 41K
License MIT MIT
Written in Go C++
Last push 2026-09-17 2026-09-18
Forks ⑂ 18K ⑂ 4.5K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Ollama if

  • You weight community size — 181K stars and counting
  • You want the MIT license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full Ollama profile →

pick faiss if

  • You want the faiss feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches C++
  • You evaluated both and faiss fits your workflow better

full faiss profile →

About Ollama

Ollama is a Go based, MIT licensed runtime that downloads and runs open source large language models such as DeepSeek, Qwen, Gemma, GLM, MiniMax and gpt oss locally on a user's own machine, and it is aimed at developers and teams that want model inference without routing prompts through a hosted API.

read the full Ollama overview →

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 →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K ponytail ★ 141K

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.

Ollama vs llama.cpp Ollama vs vllm Ollama vs GPT4All Ollama vs llama_index Ollama vs LocalAI Ollama vs PageIndex Ollama vs Langfuse Ollama vs cognee Ollama vs taipy Ollama vs dagster Ollama vs zvec Ollama vs langchain4j

Frequently asked questions

Is Ollama or faiss more popular?

Ollama has 181,184 GitHub stars and faiss has 40,929. Ollama has the larger community by that measure.

Are Ollama and faiss free?

Both are open source. Ollama is licensed under MIT and faiss under MIT. Neither carries a licence fee.

What is the difference between Ollama and faiss?

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

Which should I choose, Ollama or faiss?

Choose Ollama if you want the larger community (181,184 stars) or its MIT licence terms. Choose faiss if its feature set, stack or MIT licence fits better. Both are self-hostable.