**Hyperdimensional Semantic Graph Fusion for Enhanced Knowledge Extraction & Reasoning**
dev.to·5h·
Discuss: DEV
🧮Kolmogorov Complexity
Teaching Models to Decide When to Retrieve: Adaptive RAG, Part 4
blog.reachsumit.com·15h·
Discuss: Hacker News
🧠Learned Indexing
Multimodal Function Vectors for Spatial Relations
arxiv.org·19h
🧮Vector Embeddings
How to Build Semantic Search in ASP.NET Core using PostgreSQL
dev.to·4h·
Discuss: DEV
🔌Archive APIs
Eliminating the Precision–Latency Trade-Off in Large-Scale RAG
thenewstack.io·3d
🎯Retrieval Systems
AI Vector Database: Transforming Search with Smarter Vector Database Solutions
future.forem.com·10h·
Discuss: DEV
🗂️Vector Databases
Language Support for Marginalia Search
marginalia.nu·23h
🔍BitFunnel
Data Management for Collaborations
dataabinitio.com·7h
📦METS Containers
Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation
arxiv.org·19h
🔍Information Retrieval
Geometry Meets Vision: Revisiting Pretrained Semantics in Distilled Fields
arxiv.org·19h
🌀Differential Geometry
Retrv-R1: A Reasoning-Driven MLLM Framework for Universal and Efficient Multimodal Retrieval
arxiv.org·19h
🗂️Vector Search
Vector Databases Guide: RAG Applications 2025
dev.to·4d·
Discuss: DEV
🗂️Vector Databases
An alternative to knowledge graphs for storing loosely structured content
fleetingswallow.com·1d·
Discuss: Hacker News
🕸️Knowledge Graphs
LLM Optimization Notes: Memory, Compute and Inference Techniques
gaurigupta19.github.io·7h·
Discuss: Hacker News
💻Local LLMs
Python PEP 636 – Structural Pattern Matching: Tutorial
peps.python.org·1d·
Discuss: Hacker News
📝Concrete Syntax
Title: Boost Your Search Results with Google's Preferred Sources Feature
dev.to·23h·
Discuss: DEV
🎯Content Recommendation
A PhD in Snapshots
rbharath.github.io·22h·
Discuss: Hacker News
🧠Machine Learning
A Global Mining Dataset
tech.marksblogg.com·12h·
Discuss: Hacker News
📦METS Containers
Contrastive Retrieval Heads Improve Attention-Based Re-Ranking
arxiv.org·3d
🔍Information Retrieval