An engineer built Debrief, a tool for OpenAI Build Week 2026 that extracts structured decision briefs from documents and provides cited answers to follow-up questions. The system uses FastAPI, Postgre…
Proctors, a digital agency, has detailed an architecture for building retrieval-augmented generation (RAG) search as a standalone service, separate from the website itself. The design uses PostgreSQL …
AWS is updating its Machine Learning Engineer – Associate certification exam from MLA-C01 to MLA-C02, with the new version placing significant emphasis on generative AI and Amazon Bedrock. The exam no…
Simon Willison's blog post proposes a new approach to AI agent memory, suggesting it should be treated as a portable file format called 'memoryfield' rather than a complex pipeline. The format consist…
A developer built a production RAG system addressing four key challenges: stateless HMAC-signed guest cookies for zero-friction onboarding, layered workspace isolation for multi-tenancy, hybrid retrie…
A developer detailed a production-grade RAG agent architecture that combines hybrid search with Reciprocal Rank Fusion (RRF) and a LangGraph supervisor agent. The approach uses PostgreSQL's pgvector f…
A developer detailed five custom skills for Claude Code that reportedly saved 10 hours a week, including test-driven development workflows, schema-first API design, adversarial self-review, hybrid RAG…
Moorcheh released its Community Edition for free, a source-available, self-hosted version of its information-theoretic search engine for RAG and agentic memory, allowing single-node, non-commercial de…
Moonraker Inspector, an AI construction inspection system, sends one email per trade with only that trade's findings, each defect carrying a clause reference and a named supervisor who verified it, af…
An engineer detailed the architecture of high-volume generative media applications, emphasizing the need for distributed asset management and CDN optimization. The system treats media assets as determ…
Yogreet Global, an infrastructure-first product engineering studio, reports that startups can cut vector storage costs by 50% or more by using pgvector, a PostgreSQL extension, instead of dedicated ve…
A data engineer built a serverless AI accounting app for his family, replacing a Google Sheet with a Django-based system that uses a star schema database and a hybrid AI assistant powered by Groq and …
An engineer detailed the trade-offs between vector databases and knowledge graphs for LLM applications, arguing that the choice should be based on query type rather than hype. The article scores both …
ByteChef has introduced a managed Knowledge Base feature that turns uploaded documents into a searchable RAG store, handling parsing, chunking, embedding, and indexing via a pgvector-backed Spring AI …
A media analytics platform using PostgreSQL's pgvector extension replaced an O(N²) self-join query with a CROSS JOIN LATERAL approach that leverages HNSW indexes to deduplicate thousands of speakers b…
A developer has released Awareness, a local-first memory daemon for AI agents that uses SQLite and ONNX embeddings to keep agent context on the user's machine, with zero API calls. The daemon achieves…
A developer detailed the construction of a fully self-hosted RAG pipeline for a Gulf bank that required no data to leave its premises. The project, built on two used 3090 GPUs and open-source tools li…
The engineering team behind JobFlo, an AI career operating system, detailed their architecture for an enterprise-grade PostgreSQL database on Supabase, achieving a 99.99% cache hit ratio. They impleme…
A developer recounts how their team consolidated four databases—Mongo, Redis, Elasticsearch, and a vector database—into a single Postgres instance, citing reduced costs, lower operational overhead, an…
Hugging Face has built a hybrid search system for Papers with Code that combines PostgreSQL full-text search with pgvector dense embeddings, using reciprocal rank fusion (RRF) to merge results. The sy…