Reno Christy·7h agoVector Databases Are Attention at Corpus ScaleThe same dot product powers a transformer’s attention and your similarity search. What changes is scale, and the engineering lives in the…
Reno Christy·8h agoRAG Is a Service, Not a PromptBuilding production retrieval-augmented generation as a Python API: the engineering is in everything around the model
Ankit Goel·15h agoYour RAG Is Only as Good as Your OCRA 6-stage pipeline from messy PDFs to cited answers, and how to push OCR field accuracy from 92% to 99%. Part 1 of 3.
Ankit Goel·15h agoWhy RAG Still Hallucinates, and What Advanced RAG FixesSix reasons RAG still makes things up, and the advanced RAG fix for each one. Part 2 of 3.
Ankit Goel·15h agoYour RAG Works in the Demo. Here’s Why It Fails in Production.Precision@K, Recall@K, MRR and NDCG, plus a 6-step trace to find where your RAG pipeline breaks. Part 3 of 3.
InTowards AIbyBuse Yaren·17h agoSpectRAG: Weighted Chunk Graphs for Token-Budgeted Context Selection in Multi-Hop…SpectRAG turns your corpus into a weighted chunk graph and uses spectral graph theory to pick evidence that is relevant, diverse and…
The Turtle Code·19h agoReliable Webhooks: Retries, Idempotency, and Failure RecoveryA webhook is easy to implement when everything works. One service changes a record, sends an HTTP request, receives a successful response…
InAI at Lloyds Banking GroupbyAI at Lloyds Banking Group·1d agoVERGE: Building Better Multi-Hop RAG Evaluation for Enterprise KnowledgeIs your RAG really as good as you think it is?
Wojdylak Michal·1d agoAgentic RAG, Graph-R1, MetaRAG and Friends on One Search Engine: What Actually Helps in 2026?RAG papers each bring their own retriever, corpus split, generator and metric, so their tables don’t compose. The practical question is…
Victor Asel·1d agoScaling RAG Systems: From Basic Vector Search to Production-Grade RetrievalPart 3: Hands-On RAG for ProductionA response icon1A response icon1
