Topic

#Rag

25 articles on Rag — news, releases, guides and analysis from the SourceFeed engine.

Article 1w ago 1

RAG Is Becoming the Last Resort, Not the Default

Production teams keep converging on the same order: structured lookups first, agentic search next, embeddings last.

Rachel Goldstein

Beyond the Demo: Engineering Reliable, Production-Grade AI Agents

Stop relying on fragile agent frameworks. Build resilient agentic systems using deterministic workflows, state preservation, and robust harness engineering.

Article · 2mos ago0

Zvec and the Rise of the In-Process Vector Database

Alibaba's open-source Zvec brings SQLite-like simplicity and high-performance local retrieval to edge AI and RAG applications.

Article · 2mos ago0

Inside the Pentagon's 1.5-Million-User Enterprise LLM Rollout

The GenAI.mil deployment reveals the engineering realities of scaling agentic document pipelines under strict data classification standards.

Article · 2mos ago0

KPMG's Hallucination Disaster Is a Warning for LLM Pipelines

The consulting firm's retracted AI report highlights why developers must build strict validation and verification layers into generative workflows.

Article · 2mos ago0

A German Court Just Made Google Liable for Its AI's Hallucinations — and Every Team Shipping Generated Text Should Pay Attention

The Regional Court of Munich ruled that AI Overviews are Google's 'own words,' not search results — gutting the liability shields that protected search engines and raising the stakes for anyone deploying RAG.

News · 2mos ago5

Add Retrieval-Augmented Generation (RAG) to Your App

Build a minimal but production-shaped RAG loop in Python: chunk and embed documents, store vectors, retrieve the most relevant context, and feed it to an LLM to ground its answers.

Tutorial · 2mos ago0

TurboVec: A Rust-Powered Quantised Vector Index That Fits 10M Docs in 4 GB

Built on Google Research's TurboQuant algorithm, TurboVec offers online ingest, SIMD-accelerated filtered search, and drop-in replacements for LangChain, LlamaIndex, and Haystack vector stores — no database required.

Article · 2mos ago0

Supermemory: An Open-Source Memory and Context Engine for AI Apps

With 26k+ GitHub stars and top scores on three AI memory benchmarks, Supermemory gives developers a single API for persistent memory, RAG, user profiles, and connectors — no vector DB plumbing required.

Article · 2mos ago0

Headroom Cuts LLM Token Costs by Up to 95% — Without Changing Your Answers

The open-source context compression layer strips fat from tool outputs, logs, RAG chunks, and conversation history before they hit the model — preserving accuracy while slashing spend.

Article · 2mos ago0