A new approach for RAG has appeared that:
- reduces the size of the data corpus by 40x;
- cuts the number of tokens per query by 3x;
- increases the relevance of vector search by 2.3x.
And all of this is . Read the details
Open-source, graph-based universal multimodal RAG system built on LightRAG to process documents and unify text, images, tables, and more.
Megamozok’s Socraticode auto-indexes your project with a local vector DB and embeddings—no API keys or setup. Works with Claude, Cursor, Copilot.
Google released a draft DESIGN.md spec on GitHub with tokens, early components, and a CLI validator—enabling cross-platform use and WCAG-aware agents.