RAG Logger is a logging tool for RAG applications, a lighter open-source alternative to LangSmith. It comprehensively records, queries tracking, retrieves results, logs LLM interactions, and monitors performance step by step. It features structured log storage, organizes log files by day, automatically manages log files, and preserves detailed metadata such as timestamps and execution duration. … Read more
Are you still struggling with RAG application development? Don’t worry, today I recommend five completely open-source and free RAG frameworks that cover various scenarios such as automatic optimization, multimodal processing, local deployment, and production environment support, helping you easily tackle RAG development! 👇 1. AutoRAG: Automatic Optimization, Worry-Free 🔑 Core Advantages: Automatically find the optimal … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and enterprise researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reposted … Read more
Source: Deep Learning and Large Models LLM This article is approximately 3500 words long and is recommended for a 9-minute read. This article delves into the development of Retrieval-Augmented Generation (RAG), from basic concepts to the latest technologies. All subfields of LLM + ACL25/ICML25/NAACL25 submission groups -> Enter from here for all subfields and submission … Read more
Milvus is an open-source vector similarity search engine that supports the use of various AI models to vectorize unstructured data and provides search services for vector data. Milvus integrates widely used vector indexing libraries such as Faiss and Annoy, allowing developers to choose different indexing types for different scenarios. Using Milvus, one can develop a … Read more
Milvus Vector Database The previous article introduced the installation and deployment of the Milvus vector database. This time, we will introduce an application example of Milvus. With the similarity search feature of Milvus, there are many applicable scenarios: • Image similarity search: Images can be searched and the most similar images can be returned immediately … Read more
Today is January 18, 2025, Saturday, Beijing, clear weather. Let’s continue discussing RAG. Recently, there has been some work on Agentic RAG, which integrates autonomous agents to overcome the limitations of traditional RAG systems that perform well in knowledge retrieval and generation but struggle with dynamic, multi-step reasoning tasks, adaptability, and complex workflow orchestration. So, … Read more
This article mainly introduces the seven most common RAG architectures and the latest Agentic RAG. Most Popular RAG Architectures Naive RAG: The most basic architecture, which includes a simple document retrieval, processing, and response generation process. Retrieve-and-rerank: Adds a reranking step on top of the basic RAG, which can optimize the relevance of retrieval results. … Read more
What is agentic AI? Agentic AI generally refers to AI systems that possess the capacity to make autonomous decisions and take actions to achieve specific goals with limited or no direct human intervention. Key aspects of agentic AI Autonomy: Agentic AI systems can operate independently, making decisions based on their programming, learning, and environmental inputs. … Read more
DeepSeek has introduced a new MoE model, DeepSeek-V2, with a total parameter count of 236 billion and 21 billion active parameters. Although it is still a bit short of GPT-4 levels, it can be considered the strongest open-source MoE model available. Staying true to its open-source spirit, the accompanying technical report is also packed with … Read more