Unverified50% confidenceFactExact time
Contextual Retrieval means that before indexing each chunk, a large model is first used to generate a context prefix explaining that chunk's position in the whole document, which is then indexed together with the chunk for embedding and BM25.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedRAG（Retrieval-Augmented Generation，检索增强生成）技术的成熟推动了Context Engineering的兴起66% similarUnverifiedWithout relying on a vector database, agent memory can be implemented through alternative strategies such as TF-IDF/BM25 keyword retrieval, structured storage with inverted indexes, directly leveraging the LLM context window, or knowledge graphs.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1065184API
curl https://kongchang.com/api/v1/knowledge/claims/1065184MCP
get_claim(id=1065184)