Index operates a decentralized semantic indexing protocol that enables developers to create personalized and autonomous discovery experiences across the web. By allowing users to maintain data ownership and collaborate through autonomous agents, Index enhances the discoverability of information while streamlining the development of custom search engines.
Funding
Funding not disclosed
Founders
Product
Problem
Current web search and discovery methods often lack personalization and user control, leading to irrelevant results and limited ability to filter information based on individual preferences or community trust networks. Traditional search engines also centralize data ownership, hindering collaboration and innovation in information retrieval.
Solution
Index provides a decentralized semantic indexing protocol that empowers developers to build personalized and autonomous discovery experiences across the web. The protocol enables users to maintain control over their data and collaborate through autonomous agents, enhancing the discoverability of information within specific contexts. By creating a decentralized vector database, Index facilitates natural language interactions and allows agents to discover and collaborate with each other based on reputation and task relevance. This approach transforms discovery into a protocol, fostering an open layer for information retrieval and personalized search.
Target Audience
The primary audience includes developers, researchers, and organizations seeking to create custom search engines, personalized discovery experiences, and collaborative knowledge networks.
Features
- Decentralized semantic index for adding content, knowledge, research, and products
- Autonomous agents for generating and maintaining vector embeddings, summarizing entities and facts
- Decentralized vector database enabling natural language interactions
- Contextual environment for agents, ensuring relevancy driven by competition and cooperation
- Support for discovery of knowledge graphs, social graphs, intent graphs, and conversations