Transform Your Workflow with Retriever: A Cost-Effective AI Browser Extension for Automated Data Extraction and Task Management
Join Arin and Bani as they introduce Retriever, a revolutionary Chrome extension that leverages AI to automate tedious tasks, extract data from websites, and transform workflows - just like how Netscape transformed the browser landscape years ago.
- 1. Arin and Bani present Retriever.com, aiming to transform the browser similar to how Netscape did.
- 2. Current bottleneck: users spend hours manually copying/pasting data between websites, CRMs, Google Sheets, etc.
- 3. Inefficient solutions include offshoring scraping, RPA Bots that break with website changes, and silos of data available only on websites or APIs.
- 4. Retriever is a Chrome extension using AI web agent technology to:
- a. Perform tasks autonomously across pages
- b. Extract structured data to sheets
- 5. Example use case: follow the Latent Space podcast page on LinkedIn with a natural language prompt and AI web agent interaction.
- 6. Retriever can extract data to Google Sheets for various complex use cases, potentially costing less than a penny per page extraction.
- 7. Actions can be done across tabs and sheets, allowing users to give a column of URLs for interaction and extraction.
- 8. Subtasks can be broken down and processed simultaneously in new tabs for PDF field extraction or LinkedIn job applications.
- 9. AI web agent can figure out which fields to extract when comparing products or other items without specific prompts.
- 10. Retriever can also extract URLs on the page, such as image source URLs for product comparisons.
- 11. Actions can be performed on tabs before extraction, like selecting most recent reviews instead of top reviews.
- 12. Retriever is capable of generating a schema and exploring multiple web pages to find and extract requested data.
- 13. Retriever corrects errors, such as wrong URLs for Yahoo Finance data in market research use cases.
- 14. Function calling features allow integration with any third-party tools or APIs by providing necessary information.
- 15. Retriever's graph bot tool generates dynamic graphs based on user data and preferences.
- 16. Vision-based approaches are more prone to hallucination, expensive, and less capable of handling multiple tabs compared to Retriever's text-based approach.
- 17. Retriever is an extension in the user's browser, providing personalized results and accessing subscribed content without sharing passwords.
- 18. Retriever's mission: revolutionize data extraction with transparent and efficient AI-powered exchange.
- 19. Long-term goal: allow people to collaborate across local laptops to construct cost-efficient datasets through the extension.
- 20. Retriever focuses on productivity and automation use cases, setting up a client-side Chrome extension with more secure access to local and login-wall sites.
- 21. Retriever distributes subtasks as new tabs for long-horizon tasks, reducing failure rates compared to competitors.
- 22. User-defined function calling is more extensible and scalable than custom third-party integrations offered by competitors.
- 23. Retriever aims to revolutionize data extraction with a transparent and efficient AI-powered exchange, making cost-effective data sets accessible in the future.
- 24. Users can visit retriever.com or scan a QR code to try out Retriever and get a glimpse into the future of AI agents in the browser.
Source: AI Engineer via YouTube
❓ What do you think? What are your thoughts on the ideas shared in this video? Feel free to share your thoughts in the comments!