graph database
PulseAugur coverage of graph database — every cluster mentioning graph database across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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AI agent memory shifts from static storage to dynamic confidence calculation
A new approach to AI agent memory proposes computing confidence dynamically rather than storing it statically. This method, termed Recall, recalculates a claim's confidence based on its relationships within a graph data…
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AI systems need three databases: vector, graph, and relational
Production AI systems, particularly those using Retrieval-Augmented Generation (RAG), often fail when a single database is forced to handle diverse data types and functions. Vector databases excel at semantic search but…
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Microsoft 365 evolves into programmable context layer for AI dev tools
Microsoft is evolving its Microsoft 365 suite into a programmable context layer for developer tools and AI assistants. The new Work IQ feature aims to make enterprise data, such as emails, documents, and meeting notes, …
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New RAG methods boost accuracy by enriching context and analyzing information flow
Researchers are developing advanced techniques to improve Retrieval-Augmented Generation (RAG) systems, which ground language models in external data. One approach, ContextRAG, constructs a graph index without relying o…
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Eugene Yan shares insights on recommender systems and data roles
Eugene Yan shared insights from two DataScience SG meetups, one focusing on recommender systems and another on various roles within the data field. The recommender systems talk explored baseline approaches and novel gra…