Unverified60% confidenceOpinionTime unknown
在文件数量不过千的个人知识库场景下,结构化Markdown索引比向量数据库检索更稳定、可解释性更强
1
Sources
60%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedExa语义搜索引擎的索引层针对结构化知识内容(论文、技术文档、代码库)做了专项优化71% similarUnverifiedThe biggest bottleneck when scaling context is historical tool outputs, including text chunks from past retrievals, tool call and result pairs, and file search records.69% similarUnverifiedVector databases (such as Pinecone and Milvus) are the core components of knowledge base retrieval, used to store semantic vectors of text and enable similarity search.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/15974API
curl https://kongchang.com/api/v1/knowledge/claims/15974MCP
get_claim(id=15974)