🗄️ Vector Databases - ghosh.debasish · Scour

Transforming Video Content into Structured SOPs Using Graph-based RAG 📚RAG

techcommunity.microsoft.com·1d

Gte-go – my over-optimized embedding model 🧠LLMs

rcarmo.github.io·3d·Hacker News

Efficient Listwise Reranking with Compressed Document Representations 📦Succinct Data Structures

Rethinking Personalization for the Agent Era, Semantic Recall for Vector Search, and More! 🧠Reasoning Models

recsys.substack.com

How to Build a Self-Learning RAG System with Knowledge Reflection 📚RAG

freecodecamp.org·5d

Show HN: Local RAG Pipeline with Weaviate and Ollama 📚RAG

storyblok.com·3d·Hacker News

CARD: Non-Uniform Quantization of Visual Semantic Unit for Generative Recommendation 📚RAG

Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for downstream analysis 🌊Streaming Algorithms

allenai.org·6d·Hacker News

Icemap/duckdb-vector-index: A DuckDB extension providing HNSW, IVF, DiskANN, and SPANN vector indexes with FLAT, RaBitQ, PQ, and ScaNN quantizers for approximate nearest-neighbor search on ARRAY columns. 📦Succinct Data Structures

github.com·21h·Hacker News

RAG precision tuning can quietly cut retrieval accuracy by 40%, putting agentic pipelines at risk 📚RAG

venturebeat.com·3d

Learning Long-Term Motion Embeddings for Efficient Kinematics Generation 🧠LLMs

machinelearning.apple.com·6d

CacheRAG: A Semantic Caching System for Retrieval-Augmented Generation in Knowledge Graph Question Answering 📚RAG

Unsupervised protein language models learn patterns of enzyme function 🧠LLMs

biorxiv.org·6d

The RAG Identity Crisis: Why Your Vector DB Needs “Folders” to Scale 📚RAG

BoomHQ: Learning to Boost Multiple Hybrid Queries on Vector DBMSs 🌲LSM Trees

When RAG Isn’t Enough: Moving from Retrieval to Relationship-Aware Systems in Enterprise AI: 📚RAG

techcommunity.microsoft.com·6d

Semantic Caching for LLMs: FastAPI, Redis, and Embeddings 🗄️KV Cache

pyimagesearch.com·3d

In context learning foundation models for materials property prediction with small datasets 🌊Streaming Algorithms

High-dimensional Semi-supervised Classification via the Fermat Distance 𝕋Type Theory

TurboQuant: A First-Principles Walkthrough 🗄️KV Cache

taoofmac.com·3d

Log in to enable infinite scrolling