🔍 RAG

Retrieval-Augmented Generation, Vector Search, Knowledge Bases, Context Injection

Feeds to Scour
SubscribedAll
Scoured 634 posts in 22.7 ms
hanig/engram: Personal knowledge graph and automation system
github.com·45m
🦆DuckDB
Raw or typed
ziggit.dev·12h
🔗Parser Combinators
Build a Compiler in Five Projects
kmicinski.com·16h
🔗Parser Combinators
How StrongDM’s AI team build serious software without even looking at the code
simonwillison.net·10h·
Discuss: Hacker News
🎯99-Line Tools
Search Ranking with Machine Learning: Learning to Rank
pub.towardsai.net·2d
📊Embeddings
Building an Obsidian RAG with DuckDB and MotherDuck
motherduck.com·3d
🦆DuckDB
Pratt Parsers: Expression Parsing Made Easy
journal.stuffwithstuff.com·8h
🔗Parser Combinators
Building a data greenhouse
jmduke.com·1d
🗄️Database Internals
Structured Content Design Workflow
andyfitzgeraldconsulting.com·20h
🗂️Zettelkasten
Finding the needle in the logstack: Reducing LLM context with TF-IDF
eliseomartelli.it·2d
🔗Parser Combinators
How to Build a Document Processing Pipeline for RAG with Nemotron
developer.nvidia.com·3d
🦆DuckDB
A Ralph Loop for Reading: Beating GPT 5.2 with a 4k Context Window (and 4 GPUs)
stevehanov.ca·2d
🤖AI
Open source USearch library jumpstarts ScyllaDB vector search
thenewstack.io·2d
📊Embeddings
Understanding LLM Inference Engines: Inside Nano-vLLM (Part 2)
neutree.ai·1d·
Discuss: Hacker News
🤖AI
A Guide to Effective Prompt Engineering
blog.bytebytego.com·3d
🎯99-Line Tools
My AI Adoption Journey
mitchellh.com·3d·
Discuss: Lobsters, Hacker News, r/LocalLLaMA
🎭Claude
Building Highly Efficient Inference System for Recommenders Using PyTorch
pytorch.org·1d·
Discuss: Hacker News
🔗Parser Combinators
LAI #113: The Engineering Work That Decides Whether AI Holds Up
pub.towardsai.net·2d
🎭Claude
Does "AI-Ready Data" simply mean "Good Data Modeling"?
motherduck.com·2d
🦆DuckDB
Some good English word datasets
ntietz.com·6d
📊Embeddings

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