rag
24 stories and discussions about rag, aggregated from every source we track.
A Rete rule engine and retrieval-augmented generation, run together: auditable logic with grounded, plain-language explanations.
Hello, I'm Maneshwar, and I'm building LiveReview — a blast-radius aware AI code review built for...
Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your...
Hello, I'm Shrijith Venkatramana, and I'm building LiveReview — a blast-radius aware AI code review...
Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your...
As teams rush to build with Generative AI, they're creating a dangerous chasm between their data and...
Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your...
Most RAG failures aren't model failures. They're routing failures wearing a retrieval costume. We...
A hybrid retrieval engine for retrieval-augmented generation (RAG) that runs even on a phone - mirth/xtriever
AI adoption in an enterprise SaaS platform is rarely about adding an LLM API and calling it...
Discover top AI open source — Agents, MCP, Skills, RAG, Tools and Frameworks. Vibe Coding Discover helps you find the right project so you can code faster.
RAG without the vendor mystique: chunk, embed, index, retrieve, generate — a complete question-answering pipeline over markdown docs, every stage running locally in PHP.
PageIndex builds a hierarchical tree from a document's natural structure, skipping embeddings, chunking, and vector searches. An LLM then reasons through the tree using summaries and titles for precise retrieval. On…
The open-source agentic framework to build, orchestrate, and operate production AI agents. - apowerb/apowerb
How I went from "Trust me, bro" to "boomer with receipts" using Jev By separating...
RAG fixes what the model reads before it sees the question. Jev fixes what the model can answer before it sees the state. They’re the same design, applied to opposite ends of the model.
An architectural benchmark of Pinecone, Qdrant, Milvus, and pgvector for production RAG pipelines: HNSW vs IVFFlat indexing, single-stage filtered search, p95 latency, and memory footprint.
This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange I'll be...