Expired50% confidenceFactExact time
The underlying technology of the Skills system is closely related to RAG (Retrieval-Augmented Generation), involving embedding retrieval from vector databases such as Chroma and Pinecone.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
Building a Coding Agent from Scratch: Creating a Codex-like AI Programming Tool
bilibili前端AI指南6/24/2026
Related Claims
Unverified检索增强生成（RAG）技术通过将向量数据库（如Pinecone、Chroma）与大模型结合，使Agent能够实时检索PubMed、arXiv等学术数据库的最新文献79% similarUnverified搭建基础RAG系统所需核心技能是API调用和向量数据库操作，而非深度学习理论，这使其适合作为入门起点79% similarUnverifiedSocrati's underlying technology involves a RAG (Retrieval-Augmented Generation) architecture that slices user-uploaded documents and stores them in a vector database, then drives course content generation through semantic retrieval.77% similarUnverifiedIn scientific research scenarios, RAG is typically used in combination with vector databases such as Pinecone and Weaviate.76% similarUnverified素材挖掘Agent的底层可能涉及RAG（检索增强生成）架构，使用向量数据库存储用户输入内容75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/41501API
curl https://kongchang.com/api/v1/knowledge/claims/41501MCP
get_claim(id=41501)