Embeddings

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Scoured 202 posts in 20.4 ms

Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX

 🔍RAG  Content type: Blog
elastic.co·

hashwnath/KMCP: Open-source MCP server for your docs. Zero LLM at query time. docker compose up and go.

 🏠Self-Hosting  Content type: Code
github.com··Hacker News
Less-relevant results

Meta's smart glasses companion app ships a complete, dormant face-recognition pipeline on a stock account.

 🗄️Vector Databases
buchodi.com··Hacker News

When More Cores Hurts: The Vector Database Scaling Paradox in HPC

 🗄️Vector Databases  Content type: Academic
arxiv.org·

Embedding Models Explained: The Ultimate Guide to How AI Understands Human Language

 🧠LLMs  Content type: Blog
medium.com
·

Hybrid Search for RAG: Fix Retrieval Accuracy in AI

 🔍RAG  Content type: Blog
pingcap.com·

Best practices for building a modern app with vector search

 🔍RAG  Content type: Blog
elastic.co·

Redis for Agent Memory

 🔍RAG  Content type: Blog
rephrase-it.com·

Codebase Indexing Is Back in Kilo Code

 🗄️Databases  Content type: Blog
blog.kilo.ai·

Show HN: Incremental RAG ingestion, only changed chunks get re-embedded

 🔍RAG  Content type: Code
github.com··Hacker News

New comment by Ayaz_Saifi in "Ask HN: Who wants to be hired? (June 2026)"

 🐍Python

Modeling semantic association in self-paced reading with language model embeddings

 🧠LLMs  Content type: Academic
arxiv.org·

HelixDB/helix-db: HelixDB is an OLTP graph-vector database built in Rust.

 🗄️Vector Databases  Content type: Code
github.com··Hacker News

Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings

 🗄️Vector Databases  Content type: Academic
arxiv.org·

Most AI code reviewers are just expensive diff readers.

 🔍RAG  Content type: Code
github.com··r/SideProject

I built an open-source persistent memory layer for AI coding agents

 🧠LLMs  Content type: Code

Do Video Foundation Models Understand Intuitive Physics? A Layerwise Probing Analysis

 🗄️Vector Databases  Content type: Academic
arxiv.org·

I wondered how big platforms detect stolen images. So I built the whole system myself.

 🐘PostgreSQL  Content type: Code

FORTE: FOL-guided Optimal Refinement for Text-audio rEtrieval

 🔍RAG  Content type: Academic
arxiv.org·

docs: document lmstudio runtime contracts · openclaw/openclaw@82710b4

 🧠LLMs  Content type: Code
github.com·

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