75 posts tagged with "concepts"

Agentic workflows combine AI agents, tools, and agent memory to create adaptive systems. Learn the core patterns, use cases, and real-world examples.

Learn about the Query Agent, our new agentic search service that redefines how you interact with Weaviate’s database!

How Weaviate achieved 10x Faster Keyword Search and 90% index compression

What is an AI Agent? Learn how AI agents work, the benefits of using AI agents and more

Learn about the hybrid search feature that enables you to combine dense and sparse vectors to deliver the best of both search methods!

ハイブリッド検索の説明とKAGOME_JAトークナイザーを使った実装

Learn about vector search, a technique that uses mathematical representations of data to find similar items in large data sets.

Learn about the challenges of filtered vector search and how Weaviate tackles them with ACORN.

Learn what Agentic RAG is and how AI agents improve LLM RAG pipelines with tool use, multi-step retrieval, validation, and memory.

Learn what LLM RAG (Retrieval Augmented Generation) is, how RAG pipelines work, key use cases, implementation approaches, and evaluation methods.

Dive into how AI enables better eCommerce experiences with a focus on one critical component; Search.

Learn about Late Chunking and how it may be the right fit for balancing cost and performance in your long context retrieval applications