GoKawiil - Tech News

1.

The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next (venturebeat.com)

2026-05-04 | get AI Knowledge Management Book → | tags: vector databases, pinecone, nexus

2.

The AI scaffolding layer is collapsing. LlamaIndex's CEO explains what survives. (venturebeat.com)

2026-05-01 | get LlamaIndex AI Toolkit → | tags: llamaindex, retrieval-augmented generation, context protocol

3.

The retrieval rebuild: Why hybrid retrieval intent tripled as enterprise RAG programs hit the scale wall (venturebeat.com)

2026-04-29 | get Retrieval-Augmented Generation (RAG) Toolkit → | tags: rag, hybrid retrieval, weaviate

4.

I Won a Championship That Doesn't Exist (news.ycombinator.com)

2026-04-28 | get Custom Championship Trophy → | tags: llm, poisoning, anthropic

5.

RAG precision tuning can quietly cut retrieval accuracy by 40%, putting agentic pipelines at risk (venturebeat.com)

2026-04-27 | get AI Retrieval Optimization Toolkit → | tags: rag, redis, embedding models

6.

Watch the Lego ‘Project Hail Mary’ Set (Almost) Go to Space (gizmodo.com)

2026-04-21 | get LEGO NASA Apollo Saturn V → | tags: lego, project hail mary, guinness world record

7.

Show HN: Continual Learning with .md (news.ycombinator.com)

2026-04-13 | get Deep Learning Notebook Kit → | tags: show hn, memory filesystem, ai agents

8.

Chroma Context-1: Training a Self-Editing Search Agent (news.ycombinator.com)

2026-03-26 | get AI Self-Editing Tool → | tags: chroma, retrieval-augmented-generation, large language model

9.

I built an AI receptionist for a mechanic shop (news.ycombinator.com)

2026-03-23 | get AI Receptionist for Mechanics → | tags: ai receptionist, retrieval-augmented generation, large language model

10.

How LinkedIn replaced five feed retrieval systems with one LLM model, at 1.3 billion-user scale (venturebeat.com)

2026-03-16 | get LinkedIn LLM Feed Tool → | tags: linkedin, large language models, feed retrieval

11.

Agents need vector search more than RAG ever did (venturebeat.com)

2026-03-12 | get Weaviate Vector Search Platform → | tags: vector databases, qdrant, agentic memory

12.

Enterprises are measuring the wrong part of RAG (venturebeat.com)

2026-02-01 | get Smart Grid → | tags: enterprise, evaluation, freshness

13.

This tree search framework hits 98.7% on documents where vector search fails (venturebeat.com)

2026-01-30 | get Search Tree → | tags: database, pageindex, retrieval

14.

Why MongoDB thinks better retrieval — not bigger models — is the key to trustworthy enterprise AI (venturebeat.com)

2026-01-15 | get MongoDB → | tags: embedding, model, models

15.

Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link (venturebeat.com)

2026-01-08 | get Instructed Retriever → | tags: bendersky, metadata, retrieval

16.

GAM takes aim at “context rot”: A dual-agent memory architecture that outperforms long-context LLMs (venturebeat.com)

2025-12-04 | get Neural Network → | tags: context, long, memory

17.

From shiny object to sober reality: The vector database story, two years later (venturebeat.com)

2025-11-16 | get Vector Database → | tags: graphrag, pinecone, retrieval

18.

Energy and memory: A new neural network paradigm (sciencedaily.com)

2025-11-03 | get Neural Network → | tags: bullo, hopfield, memory

19.

Agentic RAG: Embedding Autonomous Agents into Retrieval-Augmented Generation (computer.org)

2025-10-31 | by Laurel Tweed | get Microsoft Surface Pro → | tags: agent, agentic, rag

20.

Rerank-2.5 and rerank-2.5-lite: instruction-following rerankers (news.ycombinator.com)

2025-10-31 | by Voyage Ai | get Microsoft Surface Pro → | tags: following, instruction, lite

21.

rerank-2.5 and rerank-2.5-lite: instruction-following rerankers (news.ycombinator.com)

2025-10-31 | by Voyage Ai | get Microsoft Surface Pro → | tags: following, instruction, lite

22.

Beyond Retrieval: The Expanding Universe of Augmented Generation in AI (computer.org)

2025-10-31 | by Laurel Tweed | get Chromebook → | tags: augmented, generation, knowledge

23.

Muvera: Making multi-vector retrieval as fast as single-vector search (news.ycombinator.com)

2025-10-31 | get Emotional Intelligence book → | tags: embedding, multi, retrieval