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Unlocking the Power of RAG Systems with LangChain and Vector Databases

 📚RAG  Content type: Blog
dev.to··DEV

Inferoa AI harness claimed 90% cache savings. We ran it and measured 97.8%

 🧠LLMs

fix(memory-core): filter stale recall entries in REM harness preview · openclaw/openclaw@92418fc

 🔓Open Source LLMs  Content type: Code
github.com·

Token4Token — pay-per-token inference on Gnosis + Swarm

 🔓Open Source LLMs

DiffusionGemma: The Developer Guide

 💡AI  Content type: Blog
developers.googleblog.com·

Context Engineering Is the Skill That Actually Ships Reliable AI Agents

 ✍️Prompt Engineering

local AI agents for Cursor with pre-tuned marketplace/commu

 🐋DeepSeek
locaible.com··Hacker News

How I benchmarked a 100% local RAG pipeline to 9/9 (zero API keys)

 📚RAG
buy.polar.sh··DEV

Microsoft Restores Some GitHub Repos, Keeps Others Offline as Miasma Probe Continues

 ✍️Prompt Engineering
thehackernews.com·

Best AI web scraper tools I've tested in 2026 (free and paid)

 ✍️Prompt Engineering  Content type: Blog
spidra.io··Hacker News

LangChain's A2A Integration: Building Multi-Agent Systems in Python Without the Cloud Lock-In

 ✍️Prompt Engineering  Content type: Blog
dev.to··DEV

The AI Curse (Vis the Lisp Curse)

 📚RAG  Content type: Blog
blog.djhaskin.com··Hacker News

How I Built a Hotel AI Platform in Go (And Every Honest Technical Debt We're Carrying)

 📚RAG  Content type: Blog
medium.com
··DEV

The Future of Software Development Isn’t Writing More Code — It’s Building Smarter Systems

 🧠LLMs
kickstarter.com··DEV

Show HN: RiskKernel, kill -9 an AI agent and resume it without paying twice

 ✍️Prompt Engineering
riskkernel.com··Hacker News

Gemma 4 QAT models: Optimizing model compression for mobile and laptop efficiency

 🔓Open Source LLMs  Content type: News  Content type: Blog
blog.google··Hacker News

Doubling Qwen3.6-27B on One RTX 3090: ollama llama.cpp + MTP, Lever by Lever (35.7 80.2 tok/s)

 🔓Open Source LLMs  Content type: Blog
dev.to··DEV

Neo-X7/Neo-AI: A fully offline AI assistant powered by Ollama. Stores and retrieves conversations using SQLite + LanceDB vector search. No cloud. No API keys. Runs entirely on your machine.

 🔓Open Source LLMs  Content type: Code
github.com··DEV

SlashDB ver. 2.2 /w DuckDB, advanced filter and AI

 🔓Open Source LLMs
slashdb.com··Hacker News

Why Your Vector Database Is Overpriced: Lucene's 32x Compression and Serverless Economics

 📚RAG  Content type: Blog
dev.to··DEV

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