Felo vs PageIndex: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Felo and PageIndex — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Felo
Felo
Free multilingual AI search engine delivering real-time answers and generating presentations, mind maps, and posters.
Key features
- Real-time Answers: Returns up-to-date responses to user queries, enabling timely information retrieval and quick decision-making.
- Multilingual Support: Understands and responds in multiple languages, allowing users to search and generate content across language barriers.
- AI Presentation Generation: Automatically creates slide decks or presentation outlines from queries or input topics to accelerate content creation.
- AI Mind Maps: Generates structured mind maps to visualize concepts, relationships, and brainstorming outputs for planning and learning.
- Poster Creation: Produces poster-style visual assets from text prompts, useful for marketing, education, and social sharing.
- Free Access: Offers core functionality at no cost, lowering the barrier for individuals and small teams to use advanced search and generation features.
- Share & Export: Allows users to export or share generated presentations, mind maps, and posters for collaboration and distribution.
- Real-time natural language answers to user queries
- Multilingual query and response support
- Create AI-generated presentations
- Generate mind maps from queries or content
- Design posters from generated content
- Web-based interface accessible via browser
- Conversational search experience
Best for
- Multilingual Research: Quickly gather concise, real-time answers to research questions in different languages for international teams or multilingual users.
- Rapid Presentation Building: Generate slide decks or presentation outlines from a short brief to speed up meeting and talk preparation.
- Brainstorming and Planning: Create AI-generated mind maps to structure ideas, plan projects, or map out study topics.
- Marketing Asset Creation: Design poster visuals and promotional materials from text prompts for social media and events.
- Educational Support: Produce concise explanations and visual aids for lessons, study guides, or classroom handouts.
- Content Ideation: Use generated summaries and visuals as starting points for blog posts, videos, or other content creation workflows.
- Quick factual Q&A and research via natural language search
- Generate slide decks and presentations from summarized answers
- Visualize ideas and structure information with mind maps
- Create promotional or informational posters from generated content
- Multilingual information retrieval for global users
PageIndex
Vectify AI
Vectorless, reasoning-based RAG engine that indexes long documents as a tree and lets an LLM reason through it, with traceable citations.
Key features
- Tree Index Instead of Vectors: Builds a hierarchical index from the document's own sections, so there is no chunking, no embeddings and no vector database to maintain.
- Reasoning-Based Retrieval: An LLM agentically searches the tree using full context including conversation history and domain knowledge, rather than matching a query embedding.
- Traceable Citations: Answers carry explicit page-level references locally and line-level citations on Cloud, so every claim can be checked against the source.
- PageIndex Flash: Extracts tree structure from PDFs in seconds using the document's own layout information instead of building it with an LLM.
- Local or Cloud SDK: pip install pageindex runs indexing, retrieval and chat entirely on your machine with your own key, or points the same client at PageIndex Cloud with an API key.
- MCP Server and API: Connect document reasoning to Claude, Claude Desktop, Cursor or any MCP client, with API-key auth for developers and OAuth for chat users.
- PageIndex File System: A Cloud-only file-level tree indexing layer that lets retrieval reason across an entire corpus rather than one document at a time.
- Agent Framework Integrations: Ships integration paths for the OpenAI Agents SDK, the Anthropic SDK tool runner, the Claude Agent SDK and other frameworks.
Best for
- Financial Document QA: Answer questions about 10-Ks, earnings reports and filings with the page the figure came from, the workload where it set a 98.7% FinanceBench record.
- Legal and Regulatory Review: Retrieve the governing clause from contracts and regulatory filings where the relevant section is rarely the most semantically similar one.
- Technical Manual Lookup: Find the correct procedure in long technical manuals where context and document hierarchy determine which section actually applies.
- Medical and Academic Research: Reason over medical literature and textbooks that exceed a model's file size limits, with verifiable references.
- Agent Document Tooling: Give an AI agent long-document reasoning via MCP so it can handle PDFs that models cannot ingest directly.
- Enterprise Knowledge Bases: Index large document collections in the cloud with OCR and image understanding, and reason across the whole corpus with the File System layer.
