--- title: Best Weaviate posts of 2025 | daily.dev description: The most upvoted Weaviate posts of 2025, curated by the daily.dev community. canonical: https://daily.dev/tags/weaviate/best-of/2025 twitter:card: summary_large_image twitter:site: @dailydotdev og:url: https://daily.dev/tags/weaviate/best-of/2025 og:type: website og:site_name: daily.dev og:title: Best Weaviate posts of 2025 | daily.dev og:description: The most upvoted Weaviate posts of 2025, curated by the daily.dev community. og:image: https://media.daily.dev/image/upload/s--VAY5ToZt--/f_auto/v1724209435/public/daily.dev%20-%20open%20graph --- # Best of Weaviate — 2025 1. 1 [](https://daily.dev/posts/context-engineering-for-ai-agents-avgejtgyd "Context Engineering for AI Agents") Article Weaviate · 43w Context Engineering for AI Agents Context engineering is the discipline of designing systems that feed LLMs the right information at the right time, addressing the fundamental constraint of finite context windows. It encompasses six interdependent pillars: agents that orchestrate decisions, query augmentation that refines user input, retrieval that connects to external knowledge, prompting that guides reasoning, memory that preserves history, and tools that enable real-world action. Unlike prompt engineering which focuses on phrasing instructions, context engineering builds the architecture around the model, treating the context window as a scarce resource and designing retrieval, memory systems, and tool integrations to maximize signal while avoiding context poisoning, distraction, confusion, and clash. 56 2. 2 [](https://daily.dev/posts/elysia-building-an-end-to-end-agentic-rag-app-dqbhstlrs "Elysia: Building an end-to-end agentic RAG app") Article Weaviate · 1y Elysia: Building an end-to-end agentic RAG app Elysia is an open-source agentic RAG framework that goes beyond traditional text-only AI assistants by using decision tree architecture, dynamic data display formats, and intelligent data analysis. Built with Python and powered by Weaviate, it features transparent decision-making processes, chunk-on-demand document processing, personalized feedback learning, and multi-model routing. The framework can be used as both a web application and Python library, offering customizable tools and real-time observability of AI reasoning processes. 37 3. 3 [](https://daily.dev/posts/building-agentic-workflows-with-inngest-lbo2un3ls "Building Agentic Workflows with Inngest") Article Weaviate · 2y Building Agentic Workflows with Inngest AI workflows are vital for building AI applications, addressing limitations of static AI workflows like hallucination and inflexibility. Agentic workflows, which dynamically plan steps using LLMs, are anticipated to be key in 2025 for AI agents. This post demonstrates using Inngest and Weaviate to create a dynamic pipeline that generates customized dinner menus by considering tastes, allergies, and the number of attendees. Weaviate's APIs simplify data embedding and querying, while Inngest facilitates robust and dynamic workflow creation. 33 4. 4 [](https://daily.dev/posts/ai-agent-workflow-automation-with-n8n-and-weaviate-eou7zdtav "AI Agent Workflow Automation with n8n and Weaviate") Article Weaviate · 1y AI Agent Workflow Automation with n8n and Weaviate Weaviate now offers a community node for n8n that enables no-code AI agent workflows with vector database integration. The integration provides four core functionalities: querying documents, inserting data, retrieving documents for chains, and using documents as agent tools. A practical example demonstrates building an automated AI trend analysis system that scrapes arXiv papers, enriches them with LLM classifications, stores embeddings in Weaviate, and uses an AI agent to generate weekly research trend summaries via email. The workflow showcases how vector stores enhance AI agent capabilities by providing grounded context beyond simple prompting. 11 [See all Weaviate archives](/tags/weaviate/best-of) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@graph":[{"@type":"CollectionPage","@id":"https://daily.dev/tags/weaviate/best-of/2025#page","url":"https://daily.dev/tags/weaviate/best-of/2025","name":"Best Weaviate Posts of 2025","description":"The most upvoted Weaviate posts of 2025, curated by the daily.dev community.","isPartOf":{"@type":"WebSite","url":"https://daily.dev"}},{"@type":"ItemList","@id":"https://daily.dev/tags/weaviate/best-of/2025#items","numberOfItems":4,"itemListElement":[{"@type":"ListItem","position":1,"url":"https://daily.dev/posts/context-engineering-for-ai-agents-avgejtgyd","name":"Context Engineering for AI Agents"},{"@type":"ListItem","position":2,"url":"https://daily.dev/posts/elysia-building-an-end-to-end-agentic-rag-app-dqbhstlrs","name":"Elysia: Building an end-to-end agentic RAG app"},{"@type":"ListItem","position":3,"url":"https://daily.dev/posts/building-agentic-workflows-with-inngest-lbo2un3ls","name":"Building Agentic Workflows with Inngest"},{"@type":"ListItem","position":4,"url":"https://daily.dev/posts/ai-agent-workflow-automation-with-n8n-and-weaviate-eou7zdtav","name":"AI Agent Workflow Automation with n8n and Weaviate"}]},{"@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Tags","item":"https://daily.dev/tags"},{"@type":"ListItem","position":3,"name":"Weaviate","item":"https://daily.dev/tags/weaviate"},{"@type":"ListItem","position":4,"name":"Best of","item":"https://daily.dev/tags/weaviate/best-of"},{"@type":"ListItem","position":5,"name":"2025"}]}]} ```