Enables AI to save, organize, search, and synthesize research materials using a local vector database with support for both OpenAI and Ollama backends.
Enables AI assistants to save, retrieve, and manage research content using ChromaDB vector storage with semantic search, topic organization, and automatic deduplication powered by OpenAI embeddings.
Enables AI assistants to crawl websites, extract and store web content with semantic search capabilities using vector embeddings, and retrieve information through natural language queries with tag-based filtering and intelligent content cleaning.
Automates research workflows by collecting, summarizing, and categorizing AI technology documents directly into Notion. It uses OpenAI GPT for Vietnamese summarization and automatic tagging of topics like RAG, LangGraph, and MCP.