RAG

🔍 RAGSpecific

Retrieval-Augmented Generation, Vector Search, LLM Applications, Embeddings

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Scoured 264 posts in 7.3 ms

Knowledge Graphs for AI Coding Assistants

 🦀rust、duckdb、智能合约审计
graphify.net·

Mini Shai-Hulud, Miasma, and Hades Worms Target Bioinformatics and MCP Developers via Malicious PyPI Wheels

 🦀rust、duckdb、智能合约审计  Content type: Blog
socket.dev··Hacker News

The Death of the Four Golden Signals: Designing Telemetry for Non-Deterministic Infrastructure

 💰MEV
devops.com·

The Rise of Agentic AI: What Every Engineer Should Learn

 🤖人工智能、web3区块链开发、llm  Content type: Blog
medium.com·

Deep Learning Weekly: Issue 458

 🤖人工智能、web3区块链开发、llm
deeplearningweekly.com·

Report: GKE Inference Gateway delivers up to 92% faster AI responses

 💰MEV  Content type: Blog
cloud.google.com··Hacker News

Phoenix

 🤖人工智能、web3区块链开发、llm
arize.com·

Show HN: Lore – LLM proxy for coding agent context and memory management

 🤖人工智能、web3区块链开发、llm
withlore.ai··Hacker News

What Are AI Hallucinations? And How To Improve Accuracy in Pipelines

 💰MEV  Content type: Blog
blog.n8n.io·

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.

 📊OLAP  Content type: Code
github.com··DEV

Location: Arlington Heights, IL, USA (Chicago Area) Remote: Yes Willing to reloc...

 🤖人工智能、web3区块链开发、llm  Content type: Discussion
news.ycombinator.com··Hacker News

Ontologies for the Agentic Web

 💎Solidity  Content type: Blog
wordlift.io·

How to Defend Against Prompt Injection in Production

 💎Solidity  Content type: Reference
leanpub.com··DEV

The Practitioner’s Guide to AgentOps

 💎Solidity
machinelearningmastery.com·

Redis for Agent Memory

 💰MEV  Content type: Blog
rephrase-it.com·

HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs

 🦀rust、duckdb、智能合约审计  Content type: Blog
elastic.co·

The AI Agents Stack (2026 Edition)

 💎Solidity  Content type: Blog
oreilly.com·

Towards Autonomous Accelerator Design: FPGA Accelerator Generation with SECDA

 💎Solidity  Content type: Academic
arxiv.org·

Show HN: LLM memory without context bleed; 100% precision vs. <10% vector search

 🤖人工智能、web3区块链开发、llm
tenureai.dev··Hacker News, Hacker News

| Amine Raji, PhD

 💎Solidity
aminrj.com·
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