🎨 Chroma - hello · Scour

Choosing the Best Embedding Models for RAG and Document Understanding 🧮Embeddings

clark-labs-inc/clark-hash: Clark Hash, 32x smaller searchable sketches for embeddings #️⃣Perfect Hashing

github.com·5d·Hacker News

Build agents, not pipelines 💬Prompt Engineering

seangoedecke.com·2d·Hacker News

Adapting Multilingual Embedding Models to Turkish via Cross-Lingual Tokenizer Surgery and Offline Distillation 🧮Embeddings

A graph-theoretic approach to building reliable LLM judges for retrieval 🌊Wavelet Trees

georgianailab.substack.com·3d·Substack

Shopify vs Shopify Plus (2026): The Real Difference No One Talks About 🗄️Database Internals

krunalkanojiya.com·5d·DEV

When LLMs Meet Knowledge Graphs on the Battlefield 📱Edge AI

towardsai.net·3d

Operationalizing AI powered medical imaging pipeline for cohort building 🌀Naiad

techcommunity.microsoft.com·4d

Embeddings: LLM's Best Kept Secret? 🧮Vector Databases

matthew-johnston.com·4d·Hacker News

AI features in Microsoft SQL Server 2025 and Azure SQL 🔥DataFusion

4sysops.com·6d

refactor: share openai compat http test helpers 📝Poem

github.com·19h

Uber Eats' Search Engine Gets Smarter ⚡Typesense

startuphub.ai·5d

PennySynth: RAG-Driven Data Synthesis for Automated Quantum Code Generation 🏷️Pointer Tagging

ACE: Anisotropy-Controllable Embedding for LLM-enhanced Sequential Recommendation 🧮Embeddings

Why I moved my Transformers.js pipeline out of the chrome MV3 service worker and into an Offscreen Document 📦Trunk

github.com·6d·DEV

Hubness, Not Anisotropy, Drives Cross-Lingual Retrieval Asymmetry in Multilingual Embedding Models 🧮Embeddings

SynapCores/synapcores-agent: Real, framework-free AI support agent where SynapCores is the brain — memory, RAG, tool routing, generation in one database. Browser chat widget + live Brain debug sidebar. Fork and run in 30s. ⚓Anchors

github.com·6d·Hacker News

PromptEmbedder:: Efficient and Transferable Text Embedding via Dual-LLM Soft Prompting 💬Prompt Engineering

Discovering Lexical Gaps Using Embeddings from Multilingual LLMs 📝Parsing

Grounding Text Embeddings in Stakeholder Associations 🧮Embeddings

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