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rag
27 postsOpen, structurally chunked EU AI Act corpus released for legal RAG
An open, 933-chunk SQLite dataset splits the EU AI Act by its real legal structure, with embeddings and EUR-Lex links for RAG and legal engineering.
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.
Building an LLM Wiki: Persistent Memory for AI Agents Over Live Sources
How one team built a self-updating LLM Wiki memory layer for AI agents, tackling live source drift and comparing grep, BM25, vector, and LLM retrieval.
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.comA deterministic memory layer for local LLMs at near-zero cost
An open-source deterministic memory layer bolts onto frozen LLMs, enabling zero-forgetting recall beyond context at near-zero marginal cost.
What 95 Generative AI Job Postings Reveal About Hiring Today
An analysis of 95 US Generative AI job postings shows RAG and agents converging, Python-LLM-RAG as the top skill combo, real salary data, and where hiring actually happens.
Knowledge and Memory Management: First Three Directions Finalized
Knowledge-and-Memory-Management locks in its memory store, graph adapter, and persistence contracts—API stays backward-compatible while internals are rewritten.
Building a Robust RAG Pipeline Architecture for Production
A RAG pipeline architecture processes documents into embeddings and retrieves relevant data for language models. Modular design and observability are crucial.
RAG vs AI Agents: Understanding the Real Difference
RAG retrieves knowledge; AI agents plan and act. This piece breaks down the architectural differences and when to use each approach in production systems.
Building a Compliance Answer Engine That Refuses to Hallucinate
How a Swiss compliance RAG system uses two-layer retrieval and mandatory citations to structurally block hallucinated numbers and claims.
A 5-Layer AI Quality Architecture for 5 Production AI Systems
An engineer details a 5-layer quality architecture built across 5 production AI systems like ARIA, using input, processing and output gates to catch hallucination and drift.