head to head · open source
txtai vs next-plaid
txtai has 12,964 GitHub stars, 891 forks, 9 open issues and last shipped 5 days ago. next-plaid has 546 stars, 60 forks, 29 open issues and last shipped 26 days ago. txtai leads on adoption by 2,274% (12,964 vs 546 stars). txtai is written in Python under Apache-2.0; next-plaid is written in Rust under Apache-2.0. txtai has attracted 7% as many forks as stars, next-plaid 11%. txtai 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.
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Side by side
| txtai | next-plaid | |
|---|---|---|
| GitHub stars | ★ 13K | ★ 546 |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Rust |
| Last push | 2026-09-15 | 2026-08-25 |
| Forks | ⑂ 891 | ⑂ 60 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick txtai if
- You weight community size — 13K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick next-plaid if
- You want the next-plaid feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Rust
- You evaluated both and next-plaid fits your workflow better
About txtai
txtai is an all in one AI framework for semantic search, LLM orchestration and language model workflows, written in Python and released under the Apache 2.0 license. It lives in the Python machine learning ecosystem and is built on Hugging Face Transformers, Sentence Transformers and FastAPI. The core component is an embeddings database, which is a union of vector indexes (both sparse and dense), graph networks and relational databases. That foundation enables vector search and also serves as a knowledge source for large language model applications.
read the full txtai overview →
About next-plaid
NextPlaid is a multi vector search engine written in Rust, and ColGREP is the semantic code search tool built on top of it for developers who work in the terminal and for the coding agents that run beside them.
read the full next-plaid overview →
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Frequently asked questions
Is txtai or next-plaid more popular?
txtai has 12,964 GitHub stars and next-plaid has 546. txtai has the larger community by that measure.
Are txtai and next-plaid free?
Both are open source. txtai is licensed under Apache-2.0 and next-plaid under Apache-2.0. Neither carries a licence fee.
What is the difference between txtai and next-plaid?
txtai is written in Python and next-plaid in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, txtai or next-plaid?
Choose txtai if you want the larger community (12,964 stars) or its Apache-2.0 licence terms. Choose next-plaid if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.