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1.
Foundation Model Engineering: From Theory to Production (news.ycombinator.com)
2.
Show HN: Give your AI agent on-screen guides that show users where to click (news.ycombinator.com)
3.
Closing an Azure OpenAI assistant's retrieval gap didn't take a new identity platform. It took one filter and a narrower assistant. (venturebeat.com)
4.
AI Engineer Notebooks – free, framework-free RAG/agents/evals on Colab (news.ycombinator.com)
5.
Serve Markdown to AI Agents with Accept Headers (news.ycombinator.com)
6.
RAG Is Simpler Than You Think (news.ycombinator.com)
7.
Cutting RAG inference costs 6x starts with deciding what never reaches the LLM (venturebeat.com)
8.
Agent context layers: Enterprises governing their AI data are catching twice as many bad answers as the ones who aren't (venturebeat.com)
9.
Stop graphing everything: When GraphRAG actually beats vector RAG (venturebeat.com)
10.
Launch HN: Screenpipe (YC S26) – Record how you work and turn that into agents (news.ycombinator.com)
11.
Launch HN: Screenpipe (YC S26) – Power your agents by your 24/7 screen recording (news.ycombinator.com)
12.
The cleanup trap: Stop asking RAG to fix bad data (venturebeat.com)
13.
Show HN: Bible as RAG Database (news.ycombinator.com)
14.
Bible as RAG Database (news.ycombinator.com)
15.
Haystack: Open-Source AI Framework for Production Ready Agents, RAG (news.ycombinator.com)
16.
Fine-tuning forgets. RAG leaks context. Hypernetworks build the model your agent needs on demand. (venturebeat.com)
17.
How we index images for RAG (news.ycombinator.com)
18.
Please don't spam people looking for employment. It's just cruel (news.ycombinator.com)
19.
Your AI agents need a terminal, not just a vector database (venturebeat.com)
20.
Enterprise AI agents keep failing because they forget what they learned (venturebeat.com)
21.
Context architecture is replacing RAG as agentic AI pushes enterprise retrieval to its limits (venturebeat.com)
22.
Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production (venturebeat.com)
23.
Anthropic wants to own your agent's memory, evals, and orchestration — and that should make enterprises nervous (venturebeat.com)
24.
The retrieval rebuild: Why hybrid retrieval intent tripled as enterprise RAG programs hit the scale wall (venturebeat.com)
25.
RAG precision tuning can quietly cut retrieval accuracy by 40%, putting agentic pipelines at risk (venturebeat.com)
26.
Linear RAG scanning mediates editing of Igκ variable region repertoires (feeds.nature.com)
27.
Databricks tested a stronger model against its multi-step agent on hybrid queries. The stronger model still lost by 21%. (venturebeat.com)
28.
Databricks research shows multi-step agents consistently outperform single-turn RAG when answers span databases and documents (venturebeat.com)
29.
Man who vandalized Sam Altman's home claimed AI would end humanity, charged with attempted murder (techspot.com)
30.
LLM Wiki – example of an "idea file" (news.ycombinator.com)
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