Embeddings

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Scoured 86 posts in 8.6 ms

Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings

 🤖LLM  Content type: Academic
arxiv.org·

I built a graph-memory layer on top of turbovec for local/constrained RAG — looking for feedback

 🔍Information Retrieval  Content type: Code
github.com··r/LocalLLaMA

a desktop GUI to browse, search, & visualize your vector databases

 🪟Context Windows

How to Build an Agentic RAG with RubyLLM and Rails

 🔍Information Retrieval  Content type: Blog
panasiti.me··Hacker News

Understanding HNSW: The Engine Behind Fast Vector Search

 🔍Information Retrieval
chimchim89.github.io·

Playing with Vision Embeddings

 🧠Transformers
Less-relevant results

Researchers trained an open source AI search agent, Harness-1, that outperforms GPT-5.4 on recalling relevant information

 🎮Reinforcement Learning

Local-first multimodal file search on macOS

 🔍Information Retrieval

Dynamic ReACT Loop with Conductor

 🪟Context Windows

How LLMs Actually Work: A Friendly Map for Humans • oreoro

 💬Natural Language Processing

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

 🪟Context Windows
withlore.ai··Hacker News

When More Documents Hurt RAG: Mitigating Vector Search Dilution with Domain-Scoped, Model-Agnostic Retrieval

 🔍Information Retrieval  Content type: Academic
arxiv.org·

Designing Memory for a Minimal Rust Coding Agent, Without a Vector Store

 🪨Obsidian

RohiRIK/OpenLtm: Long-Term Memory plugin for Claude Code — semantic search, context injection, session learning

 🔍Information Retrieval  Content type: Code

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

 🪟Context Windows

Making a Vintage LLM from Scratch

 💬Natural Language Processing
crlf.link··Hacker News

The AI Curse (Vis the Lisp Curse)

 🧠LLMs  Content type: Blog

Show HN: Ext-Infer

 🪟Context Windows

What Limits Does Quantization Place on Dense Top-$k$ Retrieval? A Theoretical Study

 🔍Information Retrieval  Content type: Academic
arxiv.org·

Show HN: YourMemory, agentic memory is a pruning problem, not a hoarding problem

 🔍Information Retrieval  Content type: Discussion

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