Familiar is a new open-source, AI-enabled workspace that combines chat, notes, wikis, and automations, designed to run locally with support for local AI models and passkey-based security. The tool, bu…
Homebound, an open-source alpha-stage Django blog, lets users self-host their social-media history from Google+, Facebook, and Twitter/X, with full-text and semantic search, an MCP server for LLM inte…
Builders should resist the trend toward curation over creation, argues a developer reflecting on building a RAG pipeline with Ollama and pgvector. While curation is valuable for content marketers faci…
Parse for Artisans, a hosted parsing API with a Laravel-native SDK, enables Laravel 13 apps to convert uploaded PDFs, scans, .doc files, and emails into Markdown for AI-powered document Q&A. The pipel…
RFC BE ships the History tool in v1.20.0, providing ten operations for accessing past chats, including list, get, search, rename, annotate, pin, archive, recap, resume, and related. The tool introduce…
A data engineer with eight years of experience is launching a 20-part series aimed at helping fellow data engineers understand AI concepts like embeddings, RAG, and vector databases by connecting them…
A developer open-sourced AEGIS, a self-hosted, flow-first personal AI orchestration platform designed to minimize interruptions. The MIT-licensed system uses four named agents, a Postgres interactions…
A developer presents a 7-point framework for evaluating AI engineers in 2026, arguing that traditional signals like Kaggle experience or PyTorch knowledge no longer predict who can ship reliable AI sy…
A developer built Slate-memory, a one-shot attractor memory system that enables the cheap Claude Haiku model to match the accuracy of the expensive Claude Opus model at 1/640th the cost. The system us…
A developer explains how vector search works under the hood, focusing on the two dominant algorithms: IVF (Inverted File Index) and HNSW (Hierarchical Navigable Small World). The post details why appr…
A benchmark comparing pgvector, Qdrant, and Pinecone on 50 million 1536-dimensional embeddings found that Postgres with pgvectorscale served 471 queries per second at 99% recall, outperforming Qdrant'…
A developer explains that vector databases are essential for AI-powered search and RAG features, but most projects should start with pgvector in PostgreSQL rather than specialized vector stores. The p…
A developer is building a production-grade AI messaging and RAG platform on a modest AMD Ryzen 5500U mini PC with 16GB RAM, running Rocky Linux. The project implements enterprise patterns including Do…
A developer built Canton Compliance Hub, a free multilingual resource that helps foreign founders navigate Swiss business compliance without hallucinating answers. The system uses hybrid retrieval wit…
A developer built Vector Strike, a retro arcade game that visualizes how vector databases like Pinecone, Milvus, Qdrant, and pgvector perform semantic search. The game lets players configure similarit…
A developer discovered that Apache Kafka's exactly-once delivery guarantee failed in a RAG ingestion pipeline, causing duplicate document embeddings in a vector store despite idempotent producers and …
A team of developers built NEXUS, an autonomous society of 10 specialized AI agents for security auditing, using Qwen models via Alibaba Cloud's DashScope API. The system discovers, triages, exploits,…
A developer implemented a multi-agent architecture using the Orchestrator Worker pattern, where an orchestrator delegates tasks to specialized workers for search and quality checking. The approach, in…
A tutorial shows developers how to give AI agents persistent long-term memory using Postgres with the pgvector extension and OpenAI embeddings, eliminating the need for external vector databases. The …
Databricks launched Lakebase Search on Neon, a hybrid vector and BM25 full-text retrieval system built as two Postgres extensions optimized for Neon's storage-compute separation architecture, enabling…