This repository is a collection of guides, notebooks, and recipes for implementing advanced prompting techniques and workflow patterns with large language models. It serves as a prompt engineering guide, an evaluation suite for scoring prompt quality, and a framework for orchestrating agents and integrating external tools. The project provides implementation patterns for building applications with Claude, specifically focusing on coordinating multiple models to split complex tasks between high-reasoning and high-efficiency agents. It includes technical demonstrations for multimodal data proce
RAGChecker: A Fine-grained Framework For Diagnosing RAG
pyclustering is a Python, C++ data mining library.
Build - Rapid Experiment - Evaluate - Observability
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
Les fonctionnalités principales de nmslib/nmslib sont : Clustering and Similarity, Retrieval Augmented Generation.
Les alternatives open-source à nmslib/nmslib incluent : anthropics/anthropic-cookbook — This repository is a collection of guides, notebooks, and recipes for implementing advanced prompting techniques and… amazon-science/ragchecker — RAGChecker: A Fine-grained Framework For Diagnosing RAG. annoviko/pyclustering — pyclustering is a Python, C++ data mining library. answerdotai/rerankers — A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models. aiplanethub/beyondllm — Build - Rapid Experiment - Evaluate - Observability. 1panel-dev/maxkb — MaxKB is a self-hosted retrieval-augmented generation platform designed to connect internal document repositories with…