PageIndex
Free📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
FreeFree tier
About PageIndex
PageIndex is a human-like document AI designed for precise, verifiable answers and insights from complex long documents. It offers a vectorless, reasoning-based retrieval approach that eliminates the need for embeddings, chunking, or vector databases. The platform provides three tiers: PageIndex Chat for end users seeking explainable, traceable answers grounded in source documents; PageIndex Developer for building custom applications via MCP and API; and PageIndex Enterprise for organizations requiring auditable answers, full context traces, and enterprise-grade security.
Key Features
Vectorless, reasoning-based retrieval without embeddings or chunking
No vector database required
Explainable and verifiable answers grounded in source documents
Available as MCP (Model Context Protocol) and REST API for developers
Enterprise-grade security with flexible deployment and full context traces
Chat interface for direct question answering
Pros & Cons
Pros
- Eliminates need for embeddings, chunking, and vector databases
- Provides explainable, verifiable answers traceable to source documents
- Supports multiple integration options: chat, API, and MCP
- Open source under MIT license
Best For
Understanding and querying complex long documents (e.g., research papers, legal contracts)Building custom document Q&A applications with reasoning-based retrievalEnterprise compliance and audit with traceable, grounded answers