» Tag
embeddings
10 postsAI Agent Memory Is Just a Smarter Filing Cabinet
Today's AI agent 'memory' is retrieval in disguise—it can't tell if past answers were right. Real memory needs judgment that learns from outcomes.
Vector Database Internals: From Brute-Force Search to IVF Indexing
A technical look at vector DB schema design, why brute-force search fails at scale, and how IVF indexing narrows search to relevant clusters.
Sentry's New AI Model Cuts Issue Grouping Errors in Half
Sentry upgraded its AI-powered issue grouping model, cutting duplicate issue creation by 20% and halving the rate of incorrect merges in production.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comWarner Chappell Cuts Cloud Costs by 50% With AI Embeddings
Warner Chappell replaced brittle SQL matching with in-memory AI embeddings, cutting cloud costs 50% and boosting royalty-matching output by 65%.
rememori: A Zero-Dependency TypeScript Memory Engine for AI Agents
rememori is a zero-dependency TypeScript library giving AI agents persistent memory by combining cosine similarity, entity graphs and time decay.
A Fake Python Memory Leak: ru_maxrss vs VmRSS Confusion
A RAG pipeline seemed to leak memory as RSS kept climbing, but the real bug was measuring ru_maxrss (a peak value) instead of live VmRSS. Fix, baseline check, and batching included.
Production RAG at Scale: Lessons from Processing 10,000+ Listings Daily
Insights on RAG pipeline stability, chunking strategies, and cost control from processing job listings.
SigLIP 2 Text Embedding Server on CPU with Rust and ONNX
The CPU-only SigLIP 2 text embedding server, built with Rust and ONNX, is ideal for live queries when GPU resources are limited.
Building a Multimodal Vector Search Platform for Product Catalogs
How a recommendation team built a multimodal vector search platform with Qdrant, tuned HNSW settings, and optimized GPU usage for embedding millions of products.
RAG in Laravel: Embeddings and pgvector for a Knowledge-Base Bot
Build a knowledge-base bot using RAG in Laravel 11 with PostgreSQL. Manage your data with embeddings and pgvector.