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cloud.google.com /1 month ago

Introducing BigQuery Graph: Unlock hidden relationships in your data

Today, we're thrilled to announce that BigQuery Graph is now available in preview. With BigQuery Graph, we’ve built an easy-to-use, highly scalable graph analytics solution for dat...

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pankaj-rai.medium.com /2 weeks ago

Beyond SQL: Why Your Android App Needs a Graph Database (Part 2)

Welcome back to our series on modern mobile architecture. In [Part 1] (link), we explored the paradigm shift of moving Graph Databases…Continue reading on Medium »

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proandroiddev.com /3 weeks ago

Beyond SQL: Why Your Next Android App Needs an On-Device Graph Database

If you are an Android developer, you probably have a muscle-memory relationship with SQLite.Continue reading on ProAndroidDev В»

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cloud.google.com /1 month ago

From operational to analytical: The unified Spanner Graph and BigQuery Graph solution

Understanding the relationships within your data is crucial for uncovering hidden insights and building intelligent applications. However, managing operational (OLTP) and analytica...

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forrester.com /1 month ago

Context Graphs Are A Convergence, Not An Invention

We’ve Been Building The Foundation For 40 Years A year ago, I wrote about the graphic future of IT management — IT management platforms converging on graph architectures to create...

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cloud.google.com /1 month ago

Scaling unstructured enterprise knowledge with BigQuery Graph, and Kineviz GraphXR

Over 80% of enterprise data lives in unstructured form — PDFs, emails, reports, regulatory filings. Most of the time, such sources contain critical business information, yet they r...

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venturebeat.com /1 week ago

Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, em...

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dev.to /2 weeks ago

How Graph Structure Makes AI Search Possible

AI search does not start with an algorithm. It starts with structure. Before BFS, DFS, A*, or heuristics can work, the problem must first become something searchable. That is wh...

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r-bloggers.com /1 week ago

Querying Neo4j Aura from R with neo2R

1 Introduction Graph databases excel at storing and traversing highly connected data used for recommendation engines, fraud detection, knowledge graphs, and social networks. Neo4j...

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dzone.com /1 week ago

The Vector Database Lie

The Setup: The Hype Machine It’s vector database season. Conferences are full of RAG pipeline talks. Pinecone raised over $100 million; Milvus, Weaviate, and Qdrant are all well-fu...

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kmworld.com /3 weeks ago

Franz AllegroGraph 9.0 delivers GraphTalker, the AI Agent for enterprise knowledge graphs

GraphTalker advances Neuro-Symbolic AI with an agentic natural-language interface

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medium.com /2 weeks ago

Top 15 vector databases in 2026: A production decision guide from 100+ enterprise deployments

A practitioner’s comparison of pgvector, Pinecone, Weaviate, Qdrant, Milvus, and 10 other vector databases.Continue reading on Medium »

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aws.amazon.com /1 week ago

Improving generative AI accuracy with vector and graph search hybrid queries

In this post, we discuss the differences between vector search and graph search, how to combine the two for hybrid querying, and use cases that benefit from hybrid querying.

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