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Introducing Elysia Playground An interactive playground to experiment with Elysia directly from your browser A new tutorial of 21 pages, With an easy-to-understand guide to help you learn, and build your first Elysia app There has never been a better time to learn Elysia

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SaltyAom

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57,785 просмотров • 11 месяцев назад •via X (Twitter)

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Dressed in a lovely outfit prepared together with ROG, the elegant Elysia makes her graceful entrance — bringing heartfelt gifts and hoping to brighten your gaming journey. 👉 #HonkaiImpact3rd #ROGxHI3 #Elysia
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How do you build an end-to-end agentic RAG app? Lucky for you, you can just run two commands: ‘pip install elysia-ai’ and ’elysia start’ I wrote a massive blog post detailing all the things we built into this 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗥𝗔𝗚 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸: But if you don't have time to read though that, here’s the TLDR version 🔽 Instead of the typical "text in, text out" approach, Elysia uses a decision tree architecture where intelligent agents determine the best tools to use, evaluate results, and decide whether to continue or complete their tasks. It's an AI that actually thinks through problems step-by-step in a controllable, user-understandable format. The three main things that set Elysia apart: 1️⃣ 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗧𝗿𝗲𝗲𝘀 𝘄𝗶𝘁𝗵 𝗦𝗺𝗮𝗿𝘁 𝗔𝗴𝗲𝗻𝘁𝘀: Each node has a decision agent with global context awareness. They evaluate past actions, current state, and future possibilities to choose the optimal tool. Plus, they can handle errors intelligently – if something fails, they'll try a different approach rather than just giving up. 2️⃣ 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗗𝗶𝘀𝗽𝗹𝗮𝘆𝘀: Elysia chooses from seven display formats – tables, e-commerce cards, tickets, conversations, documents, charts, and more. It analyzes your data structure and automatically picks the most appropriate way to present information. 3️⃣ 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗰 𝗗𝗮𝘁𝗮 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: Unlike traditional RAG systems that perform blind searches, Elysia analyzes your collections first. It understands your data structure, creates summaries, generates metadata, and uses this knowledge to handle complex queries intelligently. The frontend displays the entire decision tree as it's traversed, showing you exactly why it made each choice. No more black-box AI systems – you get complete transparency into the reasoning process. We built Elysia to be the successor to Verba, taking everything we learned about RAG applications and pushing it to the next level. It's not just about retrieving and generating anymore – 𝗶𝘁'𝘀 𝗮𝗯𝗼𝘂𝘁 𝗰𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗔𝗜 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 𝘁𝗵𝗮𝘁 𝘁𝗿𝘂𝗹𝘆 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝗮𝗻𝗱 𝗽𝗿𝗲𝘀𝗲𝗻𝘁 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗹𝘆. GitHub: Demo: Get started:
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