🧑💻Updates log
9/5/25
Model:
Switched to Gemini 2.5 Pro.
Training:
Enabled RAG with a vector database to incorporate both pre-training data (curated videos, old tweets, writings, etc.) and new knowledge added to the knowledge graph.
Knowledge Base Scraper:
Now goes beyond summarizing websites, also diving into the three most relevant links to gather detailed information. NOTE: A summary will be displayed in the UI, but the whole content will be stored in the Pinecone vector database.
Automatically refreshes (by re-scraping) websites in the knowledge base.
Builder Helper (Grant Action):
Implements a conversational flow to collect the project’s website, documentation, repository, and demo for further evaluation, while considering the user’s profile.
To Improve:
Autofill the knowledge base with new tweets from Jesse Pollak.
Improve understanding of dates and numbers in scraped knowledge.
Improve scrapping service to better capture data.
Include data gathered from builders’ projects in the “Grants” section of the UI.
Validate projects using the builder’s score from Talent Protocol.
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