#RAG

Sentence Transformers v5.4 Adds Unified Embeddings for Text, Image, Audio, and Video

Sentence Transformers v5.4 adds multimodal support. Eight embedding models and four rerankers including Qwen3-VL and NVIDIA Nemotron can now be used through a unified API.

Mintlify ditched RAG and switched to a virtual file system

From the basics of RAG and vector databases to Mintlify's design and implementation of ChromaFs, a virtual file system that converts UNIX commands into ChromaDB queries.

Chroma Context-1 achieves search performance equivalent to Frontier LLM with 20B parameters

A self-editing search agent with 20B parameters published by Chroma. It performs multi-hop search while dynamically pruning the context, and shows the same or higher accuracy than the Frontier model at 1/10 the cost and up to 10 times faster latency. Weights are exposed in Apache 2.0.

NVIDIA NeMo Retriever's Agentic RAG ranks first in ViDoRe v3

Agentic pipeline, which combines ReACT loop and searcher, achieved 1st place in ViDoRe v3 and 2nd place in BRIGHT. We established versatility for multiple domains using the same pipeline.

PageIndex - tree RAG with LLM reasoning only, no vector search

I looked into PageIndex, a RAG system that builds hierarchical document trees using only LLM reasoning, without chunking or vector databases. I also consider how it fits with layout detection and OCR pipelines.

RAG: Building an Internal Help Desk with Mac mini M4 Pro + Dify (2025, Part 1)

A plan to build an internal help desk RAG system using a Mac mini M4 Pro and Dify. Highlights what's new in Dify circa 2025 and tips for running local LLMs.

Setting Up LLM/RAG for Work, So I Tried LoRA Training on the Side (Part 1)

Introducing a Mac mini M4 Pro to build an in-house RAG system. A plan for setting up a LoRA training environment during downtime while waiting for specs to be finalized.