AI and infrastructure news

Project7

RAG and retrieval

RAG and retrieval Project
10/08/2618 days ago github.com
RAG tutorials outline techniques for improving search
Published on October 15, 2024, the RAG_Techniques repository offers notebooks on reranking, chunking, filtering, and Graph RAG to explore retrieval-augmented generation approaches.
RAG and retrieval Project
10/08/2618 days ago github.com
How to build a RAG pipeline for PDFs
A notebook published on November 28, 2024 demonstrates a RAG recipe for PDFs with Docling and Weaviate, using document conversion to Markdown or JSON.
RAG and retrieval Project
10/08/2618 days ago github.com
OpenScholar brings code, models and 45 million papers
On November 19, 2024, the OpenScholar repository presented code, model checkpoints, a collection of more than 45 million papers through October 2024, and the ScholarQABench benchmark.
RAG and retrieval Project
10/08/2618 days ago github.com
A Python RLM implementation for long contexts
Published on October 17, 2025, this repository presents an open-source Recursive Language Models implementation that keeps long inputs in a Python environment for analysis.
RAG and retrieval Project
10/07/2619 days ago github.com
ripwire structures repository context for coding agents
Published on September 6, 2026, ripwire is a CLI and MCP server that analyzes 21 languages and returns relevant symbols, relationships, and tests in a token-limited response.
RAG and retrieval Project
10/07/2619 days ago github.com
Tencent launches WeMM-Embedding multimodal models
On August 26, 2026, Tencent announced a family of embedding models for searching and recommending text, images, and videos. Companies can evaluate multimodal retrieval on their own data.
RAG and retrieval Project
10/07/2619 days ago github.com
WeKnora: a knowledge framework with LLMs to evaluate on your own infrastructure
In a post published on September 14, 2026, Tencent describes WeKnora, an open-source framework for document understanding, semantic retrieval, and autonomous reasoning, with source-based answers and self-hosting options.