# PageIndex

> Vectorless, reasoning-based RAG

Builds a table-of-contents index so an LLM can reason its way to the right section.

- Source: https://github.com/VectifyAI/PageIndex
- Homepage: https://pageindex.ai
- License: MIT
- Language: Python
- Stars: 38586
- Forks: 3343
- Contributors: 15
- Last commit: 2026-10-01
- Latest release: v0.2.21 (2026-10-01)
- Purpose: AI & LLM tooling, RAG & vector DBs
- Runs on: Library / SDK
- For: Personal, Enterprise

## Worth score: 76/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 23/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 10/15
- Readiness: 8/15

## Alternatives

- [Haystack](https://diggithub.com/deepset-ai/haystack.md): AI orchestration for production LLM apps
- [txtai](https://diggithub.com/neuml/txtai.md): All-in-one framework for semantic search and LLM workflows
- [FlagEmbedding](https://diggithub.com/FlagOpen/FlagEmbedding.md): Embedding and reranking models for retrieval
- [Memvid](https://diggithub.com/memvid/memvid.md): Single-file memory layer for agents
- [Cognee](https://diggithub.com/topoteretes/cognee.md): Open-source memory platform for agents
- [Unstructured](https://diggithub.com/Unstructured-IO/unstructured.md): Convert documents to structured data
- [LightRAG](https://diggithub.com/HKUDS/LightRAG.md): Simple and fast graph-based RAG
- [LlamaIndex](https://diggithub.com/run-llama/llama_index.md): Data framework for LLM applications and agents

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Source page: https://diggithub.com/VectifyAI/PageIndex
Updated: 2026-10-04