Introducing Ragora
Introducing Ragora
We built Ragora because we believe knowledge should be easy to share, easy to find, and easy to use. Today, we're excited to introduce a new kind of platform — a knowledge marketplace powered by Retrieval-Augmented Generation (RAG).
The Problem
Organizations and individuals sit on vast amounts of valuable knowledge — research papers, internal documentation, domain expertise, proprietary datasets. But making that knowledge accessible and searchable is hard.
Traditional search engines index the surface web. Enterprise search tools are expensive and siloed. And while large language models are impressive, they hallucinate when they don't have the right context.
Our Solution
Ragora bridges the gap between your data and AI-powered understanding. Here's how it works:
Upload your documents — PDFs, Word docs, text files, even audio and video. Ragora processes them automatically.
Hybrid search — Every document is indexed with both semantic embeddings and lexical search (BM25), giving you the best of both worlds.
AI chat — Ask questions in natural language and get grounded, cited answers from your knowledge base.
Share or sell — Publish collections to the marketplace. Set your own pricing. Earn royalties when others query your knowledge.
What Makes Ragora Different
Hybrid RAG Architecture
Most RAG systems rely on a single retrieval method. Ragora combines dense vector search (for semantic understanding) with sparse lexical search (for exact keyword matching), fused together using Reciprocal Rank Fusion. This means you get relevant results whether you're searching for a concept or an exact phrase.
Knowledge Graph Enhancement
Ragora automatically extracts entities — people, organizations, locations, and concepts — from your documents and builds a knowledge graph. This enables multi-hop reasoning and entity-aware retrieval that pure vector search can't match.
Built for Integration
Ragora isn't just a web app. Connect your knowledge to the tools you already use:
Discord, Slack, and Telegram bots — let your community query your knowledge base directly from chat
MCP Server — integrate with Claude Desktop, Cursor, and other AI tools via the Model Context Protocol
OpenAI-compatible API — drop-in replacement for
/v1/chat/completionswith your knowledge as context
A Real Marketplace
Ragora lets knowledge creators earn from their expertise. Set per-query pricing for your collections, and Ragora handles billing, access control, and payouts via Stripe Connect. It's a new economic model for knowledge.
Use Cases
Research teams sharing curated literature reviews and datasets
Developer communities making documentation and guides searchable via AI
Enterprises creating internal knowledge bases accessible through chat platforms
Content creators monetizing their expertise through AI-powered Q&A
Open-source projects giving contributors and users an intelligent search over docs
Get Started
Ragora is live today. You can sign up for free and start uploading your first knowledge collection in minutes. No credit card required.
We're just getting started, and we'd love your feedback. If you have questions or ideas, reach out through our contact page or join us on Discord.
Congrats on the launch, looks solid. How are you currently thinking about acquiring early users and gathering feedback?
Thank you for the comment. We are doing outreach using social media. We are also willing to give Limited free pro tiers if people are interested.
That makes sense, using social outreach combined with limited free tiers is a strong strategy for gaining early traction.
I've noticed that during early-stage launches, social media outreach can sometimes feel a bit forced. In contrast, platforms like Reddit can provide more genuine feedback, especially within communities where users are already discussing the specific pain points your product addresses.
Depending on your niche, there are usually subreddits where your target audience gathers daily. If you're interested, I can share my approach to utilizing Reddit specifically for your product.