Indexer: Your AI-Powered Social Search Engine
Prompt Indexer today on Discord and Farcaster!
Finding the signal in the noise of social media has always been difficult. Platforms are cluttered with spam, ads, and irrelevant content, making it challenging to discover valuable insights and relevant knowledge. While decentralized social networks have emerged as a promising alternative to corporate social media, they too suffer from the same problem of information overload and curation. However, their open and permissionless nature presents a unique opportunity to tackle this challenge head-on.
Enter Indexer – an AI-powered social search engine built on the Farcaster protocol. By leveraging the power of artificial intelligence and data from the open social graph, Indexer aims to revolutionize the way we discover and consume information online.
Indexer Overview
Indexer is an easy-to-use AI agent that streamlines your social media experience, making it more efficient, engaging, and rewarding. When you tag @indexer in your casts, the AI agent analyzes the content of other casts on Farcaster and provides you with relevant information, enabling you to answer niche questions and connect with like-minded individuals who share your interests.
Indexer is launching with three core features:
1. Ask Indexer: Find out what people on Farcaster are saying about any specific topic by tagging @indexer with your queries. Whether you're seeking news, recommendations, or just looking to start a conversation, Indexer has you covered. For example, if you're planning a trip to Berlin and want to connect with other users in the area, simply post "Headed to Berlin for a crypto conference. Who’s going? @indexer" and Indexer will provide you with a curated list of relevant posts and users.
2. Daily Insights: Stay informed and up-to-date with Indexer's daily insights feature. Each day, Indexer posts a summary of the most important discussions and trends on Farcaster from the past 24 hours. From breaking news to thought-provoking conversations, Indexer ensures that you never miss out on the pulse of the Farcaster network.
3. Cast Curation: In addition to algorithmic curation, Indexer leverages reinforcement learning from you! Simply by tagging Indexer on any post, or asking it about topics it may not have known about prior, you're helping Indexer curate the most relevant material on Farcaster. As more users interact with Indexer, the AI agent learns and adapts, continuously improving its ability to deliver personalized content that resonates with your interests and preferences.
How to Use Indexer
On Farcaster: If you already have a Farcaster account, simply start tagging @indexer, in your casts, and let the AI agent work its magic. Indexer will analyze the content of other casts on Farcaster, identify relevant topics and users, and provide you with personalized recommendations and insights. Best of all, using Indexer is currently fully subsidized and free up to a variable cap per day, making it accessible to all Farcaster users.
Try It on Discord: Not yet on Farcaster? No problem! Indexer is also available on the Agentcoin Discord, allowing you to experience the benefits of AI-powered social media curation without leaving your favorite platform. Join the Agentcoin community on Discord and start leveraging the power of AI to enhance your social media experience.
Infrastructure Behind Indexer
Indexer is built on top of Farcaster's decentralized protocol, leveraging hub providers such as Neynar and Indexing Company to efficiently index casts. The indexing process is guided by a hybrid approach that combines algorithmic and social curation.
The algorithmic curation component relies on a set of engagement metrics, including likes, recasts, and the reputation of posters, to identify and rank relevant casts. This top-down approach ensures that the most popular and engaging content is prioritized for indexing and recommendation.
To complement the algorithmic curation, Indexer implements a bottom-up social curation mechanism driven by user interactions. When a user tags Indexer in a cast or inquires about a specific topic, the AI agent interprets this action as a signal of interest and relevance. These user-generated signals are fed into Indexer's reinforcement learning model, which continuously updates its understanding of user preferences and content relevance.
As more users interact with Indexer, the AI agent accumulates a rich set of social curation data, enabling it to refine its recommendations and deliver highly personalized content to each user. This virtuous cycle of user interaction and model adaptation creates a powerful network effect, where the value of Indexer's recommendations grows with the size and engagement of the Farcaster community.
When a user tags @indexer in a cast with a query, Indexer follows these steps to generate a response:
- Query Processing: Indexer parses the user's query and extracts the key terms and intent using natural language processing techniques.
- Relevant Cast Retrieval: Indexer searches its indexed database of Farcaster casts using the extracted query terms and intent. It applies a combination of keyword matching, semantic similarity, and engagement metrics to identify the most relevant casts.
- Cast Reranking & Self-Reflection: The retrieved casts are reranked using Cohere’s semantic reranker. The top-ranked casts are then evaluated for relevancy through linguistic feedback using the Self-Reflection technique.
- Thread Generation: Indexer organizes the top-ranked casts into a coherent thread. It generates a brief explanation for each cast, highlighting how it relates to the user's original query. These explanations provide context and help the user understand the relevance of the selected casts.
- Response Delivery: Indexer delivers the generated thread to the context where the user query was made, be it Discord or Farcaster.
- User Feedback Integration: Once the response is delivered to the user, Indexer monitors their engagement with the provided content. User actions such as liking, recasting, or replying to the response are captured as feedback signals and used to update the AI agent's understanding of the user's preferences and the relevance of the content.
- Continuous Learning: Indexer's reinforcement learning model incorporates the user feedback signals to continuously refine its cast ranking and response generation algorithms. This iterative learning process allows Indexer to adapt to evolving user interests and improve the quality of its recommendations over time.
By combining the strengths of algorithmic and social curation, Indexer is able to navigate the vast landscape of casts on Farcaster and surface the most relevant and valuable content for each user. This hybrid approach ensures that Indexer remains responsive to both the broader trends in the community and the unique interests of individual users, ultimately providing a superior content discovery experience on the decentralized social media platform.'
Decentralized Protocols 🤝 AI Agents
Indexer represents a significant milestone in Agentcoin's mission to create an ecosystem of web3-enabled AI agents. By seamlessly integrating AI agents with decentralized protocols like Farcaster, Agentcoin is enabling a new generation of applications that leverage the best of both worlds – the security, privacy, and resilience of decentralized networks, and the intelligence, adaptability, and user-centricity of AI agents.
As more users adopt tools like Indexer, we can expect to see a virtuous cycle emerge, where increased usage drives the development of more sophisticated and specialized AI agents, which in turn unlock new possibilities for user interaction and value creation.
Indexer is just the beginning. As Agentcoin continues to push the boundaries of what's possible with on-chain AI agents, we open up new frontiers for collaboration, knowledge sharing, and collective intelligence. From decentralized social media to DeFi, governance, and beyond, the potential applications for AI agents in the web3 ecosystem are vast and exciting.
Join us on this journey and be part of the community shaping the future of on-chain agents. Start using Indexer today by tagging @indexer in your casts or joining the Agentcoin community on Discord. Together, we can unlock the full potential of decentralized protocols and AI agents, and create a more open, intelligent, and user-centric web3.