SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering
arxiv.org·1d
🔍Information Retrieval
From zero to RAG engineer: 1200 hours of lessons so you don't repeat my mistakes
bytevagabond.com·2h·
Discuss: Hacker News
📄Text Chunking
Optimizing training a GPT style Tokenizer with C++
justinhj.github.io·1d
⚙️Compression Benchmarking
Smart Segments: Krita plugin that adds Segment Anything object selection using
github.com·17h·
Discuss: Hacker News
⟷Bidirectional Programming
Beyond reuse: smarter embedding of information with structured content
fontoxml.com·1d
📦METS Standards
Search Engine vs Semantic Caching: A Comparative Analysis
blog.devops.dev·15h
🔍Search Indexing
Introducing LangExtract: A Gemini powered information extraction library
developers.googleblog.com·20h·
Discuss: Hacker News
🏰Medieval Parsing
Embeddings & Cosine Similarity Explained Simply
dev.to·1d·
Discuss: DEV
📐Vector Similarity
Structured Parsing Is the Key to Making LLMs Work on Large Codebases
hackernoon.com·1d
🌳Incremental Parsing
The web isn't URL-shaped anymore
jonoalderson.com·11h·
Discuss: Hacker News
📰Content Curation
Practical Implementation of Encoder–Decoder Architecture
adaline.ai·1d·
Discuss: Hacker News
🚀SIMD Text Processing
How Nippon India Mutual Fund improved the accuracy of AI assistant responses using advanced RAG methods on Amazon Bedrock
aws.amazon.com·1d
📥Feed Aggregation
Image Captioning via Compact Bidirectional Architecture
arxiv.org·1d
🤖Advanced OCR
Large Language Models
davidtemplin.name·1d·
Discuss: Hacker News
🤖Grammar Induction
Segment Anything for Video: A Comprehensive Review of Video Object Segmentation and Tracking from Past to Future
arxiv.org·5h
📐Projective Geometry
A Scalable Pipeline for Estimating Verb Frame Frequencies Using Large Language Models
arxiv.org·5h
🔗Monadic Parsing
RATE: An LLM-Powered Retrieval Augmented Generation Technology-Extraction Pipeline
arxiv.org·1d
🔍Information Retrieval
Turbocharging Web Automation: The Impact of Compressed History States
arxiv.org·1d
⚙️Compression Benchmarking
Rao Reading Algorithm
raohacker.com·1d·
Discuss: Hacker News
🎯Content Recommendation
Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training
arxiv.org·5h
🧠Machine Learning