Improved Chat: Knowledge Base + Web Curating Knowledge With Recall + AI

Overview: This video demonstrates building a personalized, searchable knowledge base with Recall to preserve individual context and improve AI outputs. It shows importing sources, creating notes, generating quizzes, visualizing a knowledge graph, and using a new chat that queries only personal notes or both notes and the web. The presenter contrasts Recall with Notebook LM, Obsidian, and Notion and explains portability and model-agnostic memory.
– Import & capture: Demonstrates saving web pages, YouTube transcripts, PDFs, and manual notes into a unified card-based knowledge base with timestamps and summaries.
– Organization & retrieval: Shows tagging, a visual knowledge graph, autogenerated connections, and bulk actions to structure long-term personal knowledge.
– Personalized AI chat: Uses a new chat that can query only your Recall notes, the web, or both—producing answers grounded in your curated context and citing exact sources.
– Longevity & portability: Explains exporting notes, connecting external models/agents via API or MCP, and keeping the memory layer independent of evolving LLMs.

Quotes:

You save what matters to you. You write down what you actually think.

Your knowledge, context, and thinking becomes your edge in the world of AI.

As more and more people use AI, we’ll start seeing more and more of the same.