Context Graphs vs Vector RAG vs Raw Context - A benchmark for agent memory
We benchmark context graphs against other methods of agent memory, and discuss their benefits.
Analytics Vidhya·
GraphRAG and Vector RAG address different retrieval needs. Vector RAG splits documents into chunks, embeds them, retrieves semantically similar passages, and sends them to an LLM. It is simple, fast to build, and works best when answers sit within one or two relevant chunks. GraphRAG adds structure by extracting entities, relationships, and communities, making it […] The post GraphRAG vs Vector RAG: Which Retrieval Method is Best? appeared first on Analytics Vidhya.
Read full articleWe benchmark context graphs against other methods of agent memory, and discuss their benefits.
I benchmarked raw chat history, vector-only RAG, and a context graph on the same multi-agent conversations. The results exposed a surprising weakness in relational retrieval. The post Vector RAG Isn’t Enough — I Built a Context Graph Layer for Multi-Agent Memory appeared first on Towards Data Science.
Open source. 5-minute setup. Vector RAG done right—try it yourself. The post Proxy-Pointer RAG: Structure Meets Scale at 100% Accuracy with Smarter Retrieval appeared first on Towards Data Science.