Improved Chat: Knowledge Base + Web 🧠Curating Knowledge With Recall + AI
The video demonstrates Recall's new chat feature that allows users to build and query a personalized knowledge base using their own curated notes and sources. The speaker argues that curating custom knowledge is essential for standing out in an AI-dominated world where everyone gets the same generic answers.
Summary
The video showcases Recall, a knowledge management tool that combines features from Notion, Obsidian, and NotebookLM into one platform. The main focus is on Recall's new chat functionality that can search three ways: web only, personal knowledge base only, or both combined. The speaker demonstrates how to capture content using Recall's browser extension, which can automatically summarize YouTube videos with timestamps and transcripts. He shows how the system creates connections between notes and visualizes them in a knowledge graph. The core argument is that as AI becomes ubiquitous, personal differentiation comes from curating custom knowledge bases rather than relying on generic LLM outputs. Through practical examples, the speaker demonstrates how asking the same question ('what gives me flow states?') yields generic web results versus personalized answers when filtered through his curated notes. He then shows the hybrid approach, using both his personal knowledge and updated web research to analyze gaps in his understanding of flow states since 2026 research. The system allows users to save chat results as new notes, bulk edit tags, and even connect to external AI agents through APIs. The speaker emphasizes that this approach creates a 'memory layer' separate from any specific AI model, allowing users to maintain their personalized knowledge base as new models emerge.
Key Insights
- The speaker argues that everyone using the same AI tools leads to identical answers, and the key to standing out is saving what matters to you and writing down your actual thoughts in one place
- The speaker explains that Recall combines the capabilities of NotebookLM, Obsidian, and Notion - offering chat functionality, note-taking with graphs, and source capture without the limitations of each individual tool
- The speaker demonstrates that asking 'what gives me flow states' yields generic web results, but when filtered through his personal knowledge base, it returns his specific examples like vibe coding, astrophotography, and wildlife photography
- The speaker shows how the hybrid search can analyze updated 2026 flow state research against his existing video content to identify research gaps and how academic understanding has shifted
- The speaker emphasizes that by separating the memory layer from the AI tool, users can build the knowledge base they want without getting locked into any particular model as new ones emerge
Topics
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