Hacker News with Generative AI: RAG

How to build an agentic, chat or RAG knowledge system using Pinecone Assistant (pinecone.io)
Pinecone Assistant is a powerful service that leverages retrieval-augmented generation (RAG) to enable users to upload documents, ask questions, receive context-aware responses and power agentic workflows.
Create a RAG Pipeline with Pinecone (vectorize.io)
This quickstart will walk you through creating and scheduling a pipeline that collects data from an Amazon S3 bucket, creates vector embeddings using an OpenAI embedding model, and writes the vectors to your Pinecone search index.
Full-stack RAG app built on Cloudflare (github.com/RafalWilinski)
RAG is more than just vectors (tribalknowledge.substack.com)
Anatomy of a RAG System: A Visual Explanation (twitter.com)
Surprise, your data warehouse can RAG (rainforestqa.com)
Show HN: R2R V2 – A open source RAG engine with prod features (github.com/SciPhi-AI)
Surprise, your data warehouse can RAG (rainforestqa.com)
Show HN: Pathway – Build Mission Critical ETL and RAG in Python (NATO, F1 Used) (github.com/pathwaycom)
Show HN: SpRAG – Open-source RAG implementation for challenging real-world tasks (github.com/SuperpoweredAI)