⚙️ AI Engineering - inarcissuss

Covers 2 stories including DeusData/codebase-memory-mcp: MCP server that indexes your codebase into a persistent knowledge graph. 35 languages, sub-ms queries, 99% fewer tokens than grep. Single Go binary, no Docker, no API keys.

🌀Hallucination medium.com

From Toy RAG to Production RAG: Hybrid Search, Reranking and Observability

🧠LLM Tooling GitHub·

Generate per-session LoRA adapters in <1s for agentic inference efficiency

Discussed on Hacker News

🤖AI Development Modular Blog·

Modular: Inference from Kernel to Cloud

Covered by 5 sources including GitHub, Tech Funding News

🤖ai 应用 mineru.net·

面向 Agent 和 RAG 的智能文档解析平台

🤖ai 应用 docs.vultr.com·

Deploying Qdrant Open-Source Vector Database for AI Applications on Ubuntu 24.04

Covers 2 stories including Qdrant - Vector Database

Discussed on DEV

🏗️AI Infrastructure SiliconANGLE·

TrueFoundry acquires MLOps pioneer Seldon AI to accelerate enterprise agentic AI

Covers I Spent 3 Days Debugging Our LLM Setup. Turns Out We Needed an AI Gateway the Whole Time.

🤖ai 应用 Tech Xplore·

Next-generation database reduces AI hallucinations and improves accuracy by 78%

Covers 2 stories including Robert Egan - Science X

⚡LLM Serving Red Hat Developer·

Optimizing distributed AI inference: Advanced deployment patterns

Covers 3 stories including DeepSeek-V3 Technical Report

🧠LLM Apps Hacker News·

Show HN: Bible as RAG Database

Covered by crosscanon.com

Discussed on Hacker News

🤖AI native medium.com

When Search Can See: Building Native Semantic Image Search in ODC

🤖AI Assistants medium.com

No, Prompt Engineering Isn’t Dead (You’re Just Doing It Wrong)

🧠LLM Apps medium.com

What Actually Makes a RAG System Work in Production?

🧠LLM Apps medium.com

RAG 101 Through a Builder’s Lens — Part 3

🧠LLM Tooling GitHub·

Show HN: ParseHawk – 100% Local Document AI with API, CLI, and Web UI

Covers 2 stories including Installation

Discussed on Hacker News

RL at 1T Scale: prime-rl Performance Deep Dive

Developing web apps with local LLM inference

Building agentic AI applications with a modern data mesh strategy on AWS

Knowledge graph retrieval-augmented generation (RAG): structured retrieval for AI agents

Beyond the Black Box: Predicting F1 Lap Times, SHAP Analytics, and Surviving Docker Hell

2026-06-25日刊

From Toy RAG to Production RAG: Hybrid Search, Reranking and Observability

Generate per-session LoRA adapters in <1s for agentic inference efficiency

Modular: Inference from Kernel to Cloud

面向 Agent 和 RAG 的智能文档解析平台

Deploying Qdrant Open-Source Vector Database for AI Applications on Ubuntu 24.04

TrueFoundry acquires MLOps pioneer Seldon AI to accelerate enterprise agentic AI

Next-generation database reduces AI hallucinations and improves accuracy by 78%

Optimizing distributed AI inference: Advanced deployment patterns

Show HN: Bible as RAG Database

When Search Can See: Building Native Semantic Image Search in ODC

No, Prompt Engineering Isn’t Dead (You’re Just Doing It Wrong)

What Actually Makes a RAG System Work in Production?

RAG 101 Through a Builder’s Lens — Part 3

Show HN: ParseHawk – 100% Local Document AI with API, CLI, and Web UI