head to head · open source
PageIndex vs txtai
PageIndex has 39,973 GitHub stars, 3,442 forks, 103 open issues and last shipped 2 days ago. txtai has 13,062 stars, 962 forks, 9 open issues and last shipped 2 days ago. PageIndex leads on adoption by 206% (39,973 vs 13,062 stars). PageIndex is written in Python under MIT; txtai is written in Python under Apache-2.0. PageIndex has attracted 9% as many forks as stars, txtai 7%. txtai was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 7 topic tags (agents, ai, ai-agents, information-retrieval), 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.
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Side by side
| PageIndex | txtai | |
|---|---|---|
| GitHub stars | ★ 40K | ★ 13K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-03 | 2026-11-03 |
| Forks | ⑂ 3.4K | ⑂ 962 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick PageIndex if
- You weight community size — 40K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick txtai if
- You want the txtai feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and txtai fits your workflow better
About PageIndex
PageIndex: Vectorless, Reasoning based RAG Reasoning based RAG ◦ No Vector DB, No Chunking ◦ Context Aware Retrieval ◦ Reads Like a Human 🌐 Website • ☁️ Cloud • 📖 Docs • 📝 Blog • ✉️ Contact Updates [Aug '26] 🔥 PageIndex SDK : pip install U pageindex now ships local mode : index, retrieve, and chat entirely on your machine with your own LLM key, or point the same client at PageIndex Cloud with an API key. [Aug '26] ⚡ PageIndex Flash : fast tree index generation for text based PDFs, now the default indexing method in PageIndex SDK local mode. Scale PageIndex to Millions of Documents: PageIndex File System is a…
read the full PageIndex overview →
About txtai
All in one AI framework txtai is an all in one AI framework for semantic search, LLM orchestration and language model workflows. The key component of txtai is an embeddings database, which is a union of vector indexes (sparse and dense), graph networks and relational databases. This foundation enables vector search and/or serves as a powerful knowledge source for large language model (LLM) applications. Build autonomous agents, retrieval augmented generation (RAG) processes, multi model workflows and more. Summary of txtai features: 🔎 Vector search with SQL, object storage, topic modeling, graph analysis and…
read the full txtai overview →
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Frequently asked questions
Is PageIndex or txtai more popular?
PageIndex has 39,973 GitHub stars and txtai has 13,062. PageIndex has the larger community by that measure.
Are PageIndex and txtai free?
Both are open source. PageIndex is licensed under MIT and txtai under Apache-2.0. Neither carries a licence fee.
What is the difference between PageIndex and txtai?
PageIndex is written in Python and txtai in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, PageIndex or txtai?
Choose PageIndex if you want the larger community (39,973 stars) or its MIT licence terms. Choose txtai if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.