head to head · open source

llama_index vs zvec

llama_index has 52,237 GitHub stars, 8,178 forks, 770 open issues and last shipped yesterday. zvec has 15,972 stars, 998 forks, 56 open issues and last shipped today. llama_index leads on adoption by 227% (52,237 vs 15,972 stars). llama_index is written in Python under MIT; zvec is written in C++ under Apache-2.0. llama_index has attracted 16% as many forks as stars, zvec 6%. zvec was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (rag), so they are genuine substitutes rather than adjacent tools.

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

llama_index ★ 52K zvec ★ 16K category AI & Machine Learning

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Side by side

llama_index zvec
GitHub stars ★ 52K ★ 16K
License MIT Apache-2.0
Written in Python C++
Last push 2026-09-19 2026-09-20
Forks ⑂ 8.2K ⑂ 998
Self-hosting Yes Yes
Data ownership Your server Your server

pick llama_index if

  • You weight community size — 52K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full llama_index profile →

pick zvec if

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

full zvec profile →

About llama_index

LlamaIndex is an MIT licensed, open source Python framework for building agentic applications — retrieval augmented generation systems, agents and multi agent workflows — on top of private documents and data, and it is aimed at AI engineers and teams who need to connect large language models to their own sources of context.

read the full llama_index overview →

About zvec

Zvec is an open source, in process vector database written in C++ and licensed under Apache 2.0, built to embed directly into applications so that vector search, full text search, and hybrid retrieval run inside the developer's own process instead of behind a separate service.

read the full zvec overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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More Machine Learning Infrastructure projects

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

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

Frequently asked questions

Is llama_index or zvec more popular?

llama_index has 52,237 GitHub stars and zvec has 15,972. llama_index has the larger community by that measure.

Are llama_index and zvec free?

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

What is the difference between llama_index and zvec?

llama_index is written in Python and zvec 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, llama_index or zvec?

Choose llama_index if you want the larger community (52,237 stars) or its MIT licence terms. Choose zvec if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.