点击上方“Deephub Imba”,关注公众号,好文章不错过 !检索找到了某个语义上接近的片段，LLM 围绕它写出一段文字，但是没人发现答案是错的。这是 vector RAG 调参解决不了的失败问题。而现在有2种方法可以解决他：GraphRAG 增加了一层 knowledge graph，用来描绘实体之间的关系。Vectorless RAG 完全抛弃向量数据库，让 ...

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...

Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) are two distinct yet complementary AI technologies. Understanding the differences between them is crucial for leveraging their ...

Thunderbit, an AI web data platform with over 100,000 users, today launched its developer API, Model Context Protocol (MCP) ...

Vector database pioneer Pinecone recognizes this and is pivoting to meet the specific needs of agentic AI. The company today announced Nexus, which it positions as a knowledge eng ...

What if your AI agent could not only answer your questions but also truly understand them, navigating complex queries with precision and speed? While the rise of vector search has transformed how AI ...

Progress Software, the trusted provider of AI-powered digital experience and infrastructure software, is launching Progress Agentic RAG, a SaaS Retrieval-Augmented Generation (RAG) platform designed ...

However, when it comes to adding generative AI capabilities to enterprise applications, we usually find that something is missing—the generative AI programs simply don't have the context to interact ...

Developer impact. Developers gain a managed foundation for building compliant, contextually relevant GenAI applications. Coveo launched RAG-as-a-Service for AWS AI agents on Dec. 1, providing a ...