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Merge pull request #1305 from qdrant/create-ai-agents-page
Created AI-Agents page
This commit is contained in:
David Myriel
@@ -0,0 +1,11 @@
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---
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title: "AI Agents"
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description: "AI Agents"
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build:
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render: always
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cascade:
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- build:
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list: local
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publishResources: false
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render: never
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---
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@@ -0,0 +1,62 @@
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---
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image:
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src: /img/ai-agents-dashboard-cloud.png
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alt: Dashboard cloud
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title: AI Agents with Qdrant
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description: AI agents powered by Qdrant leverage advanced vector search to access and retrieve high-dimensional data in real-time, enabling intelligent, Agentic-RAG driven, multi-step decision-making across dynamic environments.
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cases:
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- id: 0
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title: Multimodal Data Handling
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description: Qdrant enables AI agents to process and retrieve high-dimensional vectors from diverse data types (text, images, audio), supporting more comprehensive decision-making in multimodal environments.
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- id: 1
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title: Adaptive Learning
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description: Qdrant supports continuous learning by enabling efficient vector retrieval and updates, allowing agents to learn and evolve based on real-time interactions and new data points.
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featuresTitle: Qdrant equips AI agents to adapt, learn, and collaborate efficiently.
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features:
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- id: 0
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icon:
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src: /icons/outline/precision-blue.svg
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alt: Precision
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title: Contextual Precision
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description: Qdrant’s hybrid search combines semantic vector search, lexical search, and metadata filtering, enabling AI Agents to retrieve highly relevant and contextually precise information. This enhances decision-making by allowing agents to leverage both meaning-based and keyword-based strategies, ensuring accuracy and relevance for complex queries in dynamic environments.
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link:
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text: Hybrid Search
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url: /articles/hybrid-search/
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- id: 1
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icon:
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src: /icons/outline/multitenancy-blue.svg
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alt: Multitenancy
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title: Multi-Agent Systems
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description: Qdrant’s scalability and multitenancy ensures that multiple agents can collaborate in distributed systems, enabling seamless coordination and communication - key for Agentic RAG workflows.
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link:
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text: Multitenancy
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url: /articles/multitenancy/
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- id: 2
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icon:
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src: /icons/outline/time-blue.svg
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alt: Time
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title: Real Time Decision Making
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description: Qdrant’s real-time, advanced vector search enables AI agents to act instantly on live data, which is crucial for time-sensitive, autonomous decision-making.
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link:
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text: HNSW
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url: /articles/filtrable-hnsw/
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- id: 3
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icon:
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src: /icons/outline/server-rack-blue.svg
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alt: Server rack
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title: Optimized CPU Performance for Embedding Processing
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description: Qdrant’s architecture is optimized for high-throughput embedding processing, minimizing CPU load and preventing performance bottlenecks. This enables AI agents in Agentic RAG workflows to execute complex, multi-step tasks efficiently, ensuring smooth operation even at scale.
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link:
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text: Distributed Deployment
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url: /documentation/guides/distributed_deployment/
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- id: 4
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icon:
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src: /icons/outline/speedometer-blue.svg
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alt: Speedometer
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title: Semantic Cache for Rapid Query Handling
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description: Qdrant enhances AI agent efficiency with semantic caching, which preserves results of queries based on semantic equivalence rather than exact matches. This method reduces query processing times and system load by reusing previously computed answers, essential for high-throughput AI applications.
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link:
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text: Semantic Cache
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url: /articles/semantic-cache-ai-data-retrieval/
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sitemapExclude: true
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---
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@@ -0,0 +1,11 @@
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---
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title: Building AI agents?
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description: Apply for the Qdrant for Startups program to access a 20% discount to Qdrant Cloud, our managed cloud service, perks from Hugging Face, LlamaIndex, and Airbyte, and much more.
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button:
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url: /qdrant-for-startups/
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text: Apply Now
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image:
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src: /img/ai-agent.svg
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alt: AI agent
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sitemapExclude: true
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---
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@@ -0,0 +1,15 @@
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---
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title: AI Agents
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description: Unlock the full potential of your AI agents with Qdrant’s powerful vector search and scalable infrastructure, allowing them to handle complex tasks, adapt in real time, and drive smarter, data-driven outcomes across any environment.
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startFree:
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text: Get Started
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url: https://cloud.qdrant.io/
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learnMore:
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text: Learn More
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url: "#ai-agents"
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image:
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src: /img/vectors/vector-4.svg
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alt: AI agents chat
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sitemapExclude: true
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---
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@@ -0,0 +1,34 @@
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---
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title: Qdrant integrates with the leading AI Agent frameworks
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integrations:
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- id: 0
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icon:
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src: /img/integrations/integration-lang-graph.svg
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alt: LangGraph logo
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title: LangGraph
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description: Framework for managing multi-LLM workflows with structured graphs for AI agents.
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url: /documentation/frameworks/langgraph/
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- id: 1
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icon:
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src: /img/integrations/integration-open-ai.svg
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alt: Open AI logo
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title: Swarm
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description: Decentralized platform enabling collaboration among AI agents for task completion.
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url: /documentation/frameworks/swarm/
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- id: 2
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icon:
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||||
src: /img/integrations/integration-crew-ai.svg
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alt: Crew AI logo
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||||
title: CrewAI
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||||
description: Team-based AI agent collaboration system orchestrating multi-agent workflows efficiently.
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url: /documentation/frameworks/crewai/
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- id: 3
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icon:
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src: /img/integrations/integration-auto-gen.svg
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alt: AutoGen logo
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||||
title: AutoGen
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||||
description: Automation tool for generating AI agent workflows and automating complex tasks.
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url: /documentation/frameworks/autogen/
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sitemapExclude: true
|
||||
---
|
||||
|
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@@ -0,0 +1,48 @@
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---
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||||
title: Learn how to get started with Qdrant for your AI Agent use case
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features:
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- id: 0
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||||
image:
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src: /img/ai-agents-use-cases/comparing-ai-agent-frameworks.svg
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srcMobile: /img/ai-agents-use-cases/comparing-ai-agent-frameworks.svg
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||||
alt: Comparing AI agent frameworks
|
||||
title: "Comparing AI Agent Frameworks: LangGraph, CrewAI, Swarm, and AutoGen"
|
||||
description: This guide offers a comparison of key AI agent frameworks, highlighting their strengths and ideal use cases for developers.
|
||||
link:
|
||||
text: View Guide
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||||
url: /articles/agentic-rag/
|
||||
- id: 1
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||||
image:
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||||
src: /img/ai-agents-use-cases/open-ai-agents.svg
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||||
srcMobile: /img/ai-agents-use-cases/open-ai-agents.svg
|
||||
alt: Open AI agents
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||||
title: Building OpenAI Swarm Agents with Qdrant
|
||||
description: Learn how to build OpenAI Swarm agents using Qdrant for fast, scalable vector search and real-time actions.
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||||
link:
|
||||
text: Read the Docs
|
||||
url: /documentation/frameworks/swarm/
|
||||
- id: 2
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||||
image:
|
||||
src: /img/ai-agents-use-cases/ai-scheduler.svg
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||||
srcMobile: /img/ai-agents-use-cases/ai-scheduler.svg
|
||||
alt: AI scheduler
|
||||
title: Building an AI Scheduler with Zoom, CrewAI, and Qdrant
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||||
description: Learn how to build an AI meeting scheduler with Zoom, LlamaIndex, and Qdrant, featuring a hands-on RAG recommendation engine code sample.
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||||
link:
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text: View Tutorial
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||||
url: /documentation/agentic-rag-crewai-zoom/
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||||
caseStudy:
|
||||
logo:
|
||||
src: /img/ai-agents-use-cases/customer-logo.svg
|
||||
alt: Logo
|
||||
title: "QA.tech Case Study: AI Agents for Web Testing"
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||||
description: QA.tech enhanced web app testing by deploying AI agents that mimic user interactions. To handle high-speed actions and make real-time decisions, they integrated Qdrant for scalable vector search, allowing for faster and more efficient data proc...
|
||||
link:
|
||||
text: Read Case Study
|
||||
url: /blog/case-study-qatech/
|
||||
image:
|
||||
src: /img/ai-agents-use-cases/case-study.png
|
||||
alt: Preview
|
||||
sitemapExclude: true
|
||||
---
|
||||
|
||||
@@ -0,0 +1,16 @@
|
||||
---
|
||||
tag:
|
||||
title: On-demand Webinar
|
||||
icon:
|
||||
src: /icons/outline/training-purple.svg
|
||||
alt: Training
|
||||
title: Building AI Agents for personalized recommendations with Qdrant and n8n
|
||||
description: Learn in this video how to build an AI-powered recommendation system using Qdrant and n8n. It demonstrates how an AI agent retrieves data from Qdrant's vector database and leverages a large language model (LLM) to generate personalized recommendations based on user inputs.
|
||||
link:
|
||||
text: Watch Now
|
||||
url: https://www.youtube.com/watch?v=O5mT8M7rqQQ
|
||||
youtube: |
|
||||
<iframe src="https://www.youtube.com/embed/O5mT8M7rqQQ" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
|
||||
sitemapExclude: true
|
||||
---
|
||||
|
||||
@@ -0,0 +1,17 @@
|
||||
---
|
||||
tag:
|
||||
title: On-demand Webinar
|
||||
icon:
|
||||
src: /icons/outline/training-purple.svg
|
||||
alt: Training
|
||||
title: Building Agents with LlamaIndex & Qdrant
|
||||
description: Ready to build more advanced AI agents? Watch this webinar to learn how to use LlamaIndex and Qdrant to create intelligent agents capable of handling complex, multi-modal queries in RAG-enabled systems.
|
||||
link:
|
||||
text: Watch Now
|
||||
url: https://www.youtube.com/watch?v=3mWIFsooibQ
|
||||
image:
|
||||
src: /img/ai-agents-webinar.svg
|
||||
alt: AI agents webinar
|
||||
sitemapExclude: true
|
||||
---
|
||||
|
||||
@@ -49,6 +49,10 @@ menuItems:
|
||||
name: Data Analysis & Anomaly Detection
|
||||
icon: data-analysis-anomaly-detection.svg
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||||
url: /data-analysis-anomaly-detection/
|
||||
- id: subMenu-1-4
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||||
name: AI Agents
|
||||
icon: ai-agents.svg
|
||||
url: /ai-agents/
|
||||
# - id: subMenu-1-4
|
||||
# name: Qdrant for Startups
|
||||
# icon: qdrant-for-startups.svg
|
||||
|
||||
@@ -60,11 +60,11 @@
|
||||
@import 'partials/use-cases-vector-get-started';
|
||||
@import 'partials/use-cases-vector-features';
|
||||
@import 'partials/use-cases-vector-cases';
|
||||
@import 'partials/use-cases-vector-integrations';
|
||||
@import 'partials/case-study';
|
||||
@import 'partials/advanced-search-use-cases';
|
||||
@import 'partials/recommendations-api';
|
||||
@import 'partials/retrieval-augmented-generation-guide';
|
||||
@import 'partials/retrieval-augmented-generation-integrations';
|
||||
@import 'partials/retrieval-augmented-generation-evaluation';
|
||||
@import 'partials/data-analysis-anomaly-detection';
|
||||
@import 'partials/share-buttons';
|
||||
@@ -107,3 +107,7 @@
|
||||
@import 'partials/rag-evaluation-guide-features';
|
||||
@import 'partials/progress-bar';
|
||||
@import 'partials/table-of-contents';
|
||||
@import 'partials/ai-agents-webinar';
|
||||
@import 'partials/ai-agents-get-started';
|
||||
@import 'partials/ai-agents-video';
|
||||
@import 'partials/tag';
|
||||
|
||||
@@ -0,0 +1,30 @@
|
||||
@use '../mixins/get-started-small' as get-started-small;
|
||||
|
||||
.ai-agents-get-started {
|
||||
@include get-started-small.base(
|
||||
$spacer * 5,
|
||||
$spacer * 4,
|
||||
$spacer * 3.5,
|
||||
$spacer * 2.5,
|
||||
$neutral-94,
|
||||
url('/img/stars-pattern.png') $neutral-10,
|
||||
url('/img/stars-pattern.png') $neutral-10
|
||||
);
|
||||
|
||||
@include media-breakpoint-up(lg) {
|
||||
&__title,
|
||||
&__description,
|
||||
.button {
|
||||
margin-left: $spacer * 4;
|
||||
}
|
||||
|
||||
&__text {
|
||||
padding-top: $spacer * 2.5;
|
||||
padding-bottom: $spacer * 2.5;
|
||||
}
|
||||
|
||||
&__image {
|
||||
align-self: center;
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,48 @@
|
||||
@use '../helpers/functions' as *;
|
||||
|
||||
.ai-agents-video {
|
||||
padding-top: $spacer * 4;
|
||||
padding-bottom: $spacer * 4;
|
||||
background-color: $neutral-94;
|
||||
|
||||
&__content {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
max-width: pxToRem(920);
|
||||
margin: 0 auto;
|
||||
gap: $spacer * 1.5;
|
||||
text-align: center;
|
||||
}
|
||||
|
||||
&__title {
|
||||
margin-bottom: 0;
|
||||
font-size: $spacer * 2;
|
||||
line-height: pxToRem(40);
|
||||
color: $neutral-20;
|
||||
}
|
||||
|
||||
&__description {
|
||||
margin-bottom: 0;
|
||||
color: $neutral-20;
|
||||
}
|
||||
|
||||
.video {
|
||||
max-width: none;
|
||||
margin-top: $spacer * 3;
|
||||
|
||||
iframe {
|
||||
max-width: none;
|
||||
}
|
||||
}
|
||||
|
||||
@include media-breakpoint-up(lg) {
|
||||
padding-top: $spacer * 7.5;
|
||||
padding-bottom: $spacer * 7.5;
|
||||
|
||||
&__title {
|
||||
font-size: $spacer * 2.5;
|
||||
line-height: pxToRem(50);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,41 @@
|
||||
@use '../helpers/functions' as *;
|
||||
|
||||
.ai-agents-webinar {
|
||||
padding-top: $spacer * 4;
|
||||
padding-bottom: $spacer * 4;
|
||||
background-color: $neutral-94;
|
||||
|
||||
.tag {
|
||||
margin-bottom: $spacer * 1.5;
|
||||
}
|
||||
|
||||
&__title {
|
||||
margin-bottom: $spacer * 1.5;
|
||||
font-size: $spacer * 2;
|
||||
line-height: pxToRem(40);
|
||||
color: $neutral-20;
|
||||
}
|
||||
|
||||
&__description {
|
||||
margin-bottom: $spacer * 1.5;
|
||||
font-size: pxToRem(18);
|
||||
line-height: pxToRem(27);
|
||||
color: $neutral-20;
|
||||
}
|
||||
|
||||
&__image {
|
||||
display: block;
|
||||
width: 100%;
|
||||
max-width: pxToRem(580);
|
||||
margin: $spacer * 2.5 -1% -7% -4%;
|
||||
}
|
||||
|
||||
@include media-breakpoint-up(lg) {
|
||||
padding-top: $spacer * 7.5;
|
||||
padding-bottom: $spacer * 7.5;
|
||||
|
||||
&__image {
|
||||
margin-top: 0;
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,21 @@
|
||||
@use '../helpers/functions' as *;
|
||||
|
||||
.tag {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: pxToRem(12);
|
||||
width: fit-content;
|
||||
padding: $spacer * 0.5 $spacer;
|
||||
background-color: $secondary-violet-30;
|
||||
border-radius: $spacer * 2.5;
|
||||
|
||||
&_image {
|
||||
height: $spacer;
|
||||
width: $spacer;
|
||||
}
|
||||
|
||||
&_title {
|
||||
color: $secondary-violet-90;
|
||||
margin-bottom: 0;
|
||||
}
|
||||
}
|
||||
@@ -21,7 +21,9 @@
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
justify-content: flex-start;
|
||||
margin: 0 auto;
|
||||
padding: $spacer * 2;
|
||||
max-width: pxToRem(540);
|
||||
|
||||
&-image {
|
||||
display: none;
|
||||
@@ -44,6 +46,24 @@
|
||||
}
|
||||
}
|
||||
|
||||
&.ai-agents-use-cases {
|
||||
.use-cases-vector-cases__card {
|
||||
&-title {
|
||||
font-size: pxToRem(20);
|
||||
line-height: pxToRem(30);
|
||||
}
|
||||
|
||||
&-description {
|
||||
font-size: $spacer;
|
||||
line-height: $spacer * 1.5;
|
||||
}
|
||||
|
||||
&-link {
|
||||
margin-top: auto;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@include media-breakpoint-up(xl) {
|
||||
padding-top: $spacer * 5;
|
||||
padding-bottom: $spacer * 5;
|
||||
@@ -70,5 +90,20 @@
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
&.ai-agents-use-cases {
|
||||
.use-cases-vector-cases__title {
|
||||
font-size: $spacer * 3.5;
|
||||
line-height: pxToRem(67);
|
||||
}
|
||||
|
||||
.use-cases-vector-cases__cards {
|
||||
margin-bottom: $spacer * 5;
|
||||
}
|
||||
|
||||
.use-cases-vector-cases__card {
|
||||
min-height: pxToRem(518);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -5,6 +5,15 @@
|
||||
padding-bottom: $spacer * 4;
|
||||
background-color: $neutral-94;
|
||||
|
||||
&__feature-title {
|
||||
max-width: pxToRem(730);
|
||||
margin: $spacer * 3.5 auto;
|
||||
text-align: center;
|
||||
font-size: $spacer * 2;
|
||||
line-height: pxToRem(38);
|
||||
color: $neutral-20;
|
||||
}
|
||||
|
||||
&__title {
|
||||
font-size: $spacer * 2;
|
||||
line-height: pxToRem(38);
|
||||
@@ -21,7 +30,48 @@
|
||||
margin-bottom: $spacer * 2.5;
|
||||
}
|
||||
|
||||
&__cases {
|
||||
&-image {
|
||||
display: block;
|
||||
width: 100%;
|
||||
max-width: pxToRem(506);
|
||||
margin: 0 auto $spacer * 2.5;
|
||||
}
|
||||
|
||||
&-title {
|
||||
margin-bottom: $spacer;
|
||||
font-size: $spacer * 2;
|
||||
line-height: pxToRem(38);
|
||||
color: $neutral-20;
|
||||
}
|
||||
|
||||
&-description {
|
||||
margin-bottom: 0;
|
||||
color: $neutral-30;
|
||||
}
|
||||
|
||||
&-item {
|
||||
margin-top: $spacer * 2.5;
|
||||
padding-left: $spacer * 1.5;
|
||||
border-left: pxToRem(2) solid $neutral-80;
|
||||
|
||||
&-title {
|
||||
margin-bottom: $spacer * 0.5;
|
||||
font-size: pxToRem(18);
|
||||
line-height: pxToRem(27);
|
||||
color: $neutral-20;
|
||||
}
|
||||
|
||||
&-description {
|
||||
margin-bottom: 0;
|
||||
color: $neutral-30;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
&__card {
|
||||
justify-content: flex-start;
|
||||
|
||||
&-icon {
|
||||
height: $spacer * 1.5;
|
||||
width: $spacer * 1.5;
|
||||
@@ -60,6 +110,12 @@
|
||||
padding-top: $spacer * 7.5;
|
||||
padding-bottom: $spacer * 7.5;
|
||||
|
||||
&__feature-title {
|
||||
margin: $spacer * 5 auto;
|
||||
font-size: $spacer * 2.5;
|
||||
line-height: pxToRem(50);
|
||||
}
|
||||
|
||||
&__header {
|
||||
margin-bottom: $spacer * 5;
|
||||
}
|
||||
@@ -75,5 +131,17 @@
|
||||
font-size: pxToRem(18);
|
||||
line-height: pxToRem(27);
|
||||
}
|
||||
|
||||
&__cases {
|
||||
&-image {
|
||||
max-width: 94%;
|
||||
margin: 0 auto 0 0;
|
||||
}
|
||||
|
||||
&-title {
|
||||
font-size: $spacer * 3;
|
||||
line-height: pxToRem(58);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
+6
-1
@@ -1,6 +1,6 @@
|
||||
@use '../helpers/functions' as *;
|
||||
|
||||
.retrieval-augmented-generation-integrations {
|
||||
.use-cases-vector-integrations {
|
||||
position: relative;
|
||||
padding-top: $spacer * 4;
|
||||
padding-bottom: $spacer * 4;
|
||||
@@ -42,6 +42,11 @@
|
||||
color: $neutral-70;
|
||||
}
|
||||
}
|
||||
a.use-cases-vector-integrations__card:hover {
|
||||
.use-cases-vector-integrations__card-title {
|
||||
text-decoration: underline;
|
||||
}
|
||||
}
|
||||
|
||||
@include media-breakpoint-up(xl) {
|
||||
padding-top: $spacer * 7.5;
|
||||
@@ -0,0 +1,26 @@
|
||||
{{ define "main" }}
|
||||
{{ partial "site-header" . }}
|
||||
|
||||
{{ with (.Site.GetPage "/ai-agents/ai-agents-hero") }}
|
||||
{{ partial "use-cases-vector-hero" . }}
|
||||
{{ end }}
|
||||
|
||||
<div id="ai-agents"></div>
|
||||
{{ partial "ai-agents-features" . }}
|
||||
|
||||
{{ with (.Site.GetPage "/ai-agents/ai-agents-integrations") }}
|
||||
{{ partial "use-cases-vector-integrations" (dict "context" . "class" "ai-agents-integrations") }}
|
||||
{{ end }}
|
||||
|
||||
{{ partial "ai-agents-webinar" . }}
|
||||
|
||||
{{ with (.Site.GetPage "/ai-agents/ai-agents-use-cases") }}
|
||||
{{ partial "use-cases-vector-cases" (dict "context" . "class" "ai-agents-use-cases") }}
|
||||
{{ end }}
|
||||
|
||||
{{ partial "ai-agents-video" . }}
|
||||
|
||||
{{ with (.Site.GetPage "/ai-agents/ai-agents-get-started") }}
|
||||
{{ partial "get-started-small" (dict "context" . "class" "ai-agents-get-started") }}
|
||||
{{ end }}
|
||||
{{ end }}
|
||||
@@ -0,0 +1 @@
|
||||
{{ define "main" }}{{ end }}
|
||||
@@ -0,0 +1,42 @@
|
||||
{{ with (.Site.GetPage "/ai-agents/ai-agents-features") }}
|
||||
<section class="use-cases-vector-features">
|
||||
<div class="container">
|
||||
<div class="use-cases-vector-features__cases row">
|
||||
<div class="col-12 col-lg-6">
|
||||
<img
|
||||
class="use-cases-vector-features__cases-image"
|
||||
src="{{ .Params.image.src }}"
|
||||
alt="{{ .Params.image.alt }}"
|
||||
/>
|
||||
</div>
|
||||
<div class="col-12 col-lg-6">
|
||||
<h3 class="use-cases-vector-features__cases-title">{{ .Params.title }}</h3>
|
||||
<p class="use-cases-vector-features__cases-description">{{ .Params.description }}</p>
|
||||
{{ range .Params.cases }}
|
||||
<div class="use-cases-vector-features__cases-item">
|
||||
<h6 class="use-cases-vector-features__cases-item-title">{{ .title }}</h6>
|
||||
<p class="use-cases-vector-features__cases-item-description">{{ .description }}</p>
|
||||
</div>
|
||||
{{ end }}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<h3 class="use-cases-vector-features__feature-title">{{ .Params.featuresTitle }}</h3>
|
||||
|
||||
<div class="row g-4 gy-md-3">
|
||||
{{ range $index, $element := .Params.features }}
|
||||
<div class="col-12 col-md-6 {{ if or (eq $index 3) (eq $index 4) }}col-xl-6{{ else }}col-xl-4{{ end }}">
|
||||
<div class="card use-cases-vector-features__card">
|
||||
<img class="use-cases-vector-features__card-icon" src="{{ .icon.src }}" alt="{{ .icon.alt }}" />
|
||||
<h6 class="use-cases-vector-features__card-title">{{ .title }}</h6>
|
||||
<p class="use-cases-vector-features__card-description">{{ .description }}</p>
|
||||
<a class="use-cases-vector-features__card-link link link_md align-self-start" href="{{ .link.url }}">
|
||||
{{ .link.text }}
|
||||
</a>
|
||||
</div>
|
||||
</div>
|
||||
{{ end }}
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
{{ end }}
|
||||
@@ -0,0 +1,14 @@
|
||||
{{ with (.Site.GetPage "/ai-agents/ai-agents-video") }}
|
||||
<section class="ai-agents-video">
|
||||
<div class="container">
|
||||
<div class="ai-agents-video__content">
|
||||
{{ partial "tag" . }}
|
||||
<h3 class="ai-agents-video__title">{{ .Params.title }}</h3>
|
||||
<p class="ai-agents-video__description">{{ .Params.description }}</p>
|
||||
<a class="link link_md" href="{{ .Params.link.url }}" target="_blank">{{ .Params.link.text }}</a>
|
||||
</div>
|
||||
|
||||
{{ partial "youtube-video" .Params.youtube }}
|
||||
</div>
|
||||
</section>
|
||||
{{ end }}
|
||||
@@ -0,0 +1,22 @@
|
||||
{{ with (.Site.GetPage "/ai-agents/ai-agents-webinar") }}
|
||||
<section class="ai-agents-webinar">
|
||||
<div class="container">
|
||||
<div class="align-items-center row">
|
||||
<div class="col-12 col-lg-5">
|
||||
{{ partial "tag" . }}
|
||||
|
||||
<h3 class="ai-agents-webinar__title">{{ .Params.title }}</h3>
|
||||
<p class="ai-agents-webinar__description">{{ .Params.description }}</p>
|
||||
<a class="link link_md" href="{{ .Params.link.url }}" target="_blank">{{ .Params.link.text }}</a>
|
||||
</div>
|
||||
<div class="col-12 col-lg-7 d-flex justify-content-center justify-content-lg-end">
|
||||
<img
|
||||
class="ai-agents-webinar__image"
|
||||
src="{{ .Params.image.src }}"
|
||||
alt="{{ .Params.image.alt }}"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
{{ end }}
|
||||
-25
@@ -1,25 +0,0 @@
|
||||
{{ with (.Site.GetPage "/retrieval-augmented-generation/retrieval-augmented-generation-integrations") }}
|
||||
<section class="retrieval-augmented-generation-integrations">
|
||||
<div class="container">
|
||||
<h4 class="retrieval-augmented-generation-integrations__title">{{ .Params.title }}</h4>
|
||||
<div class="row g-4 g-lg-5">
|
||||
{{ range .Params.integrations }}
|
||||
<div class="col-12 col-md-6 col-xl-4">
|
||||
<div class="retrieval-augmented-generation-integrations__card">
|
||||
<img
|
||||
class="retrieval-augmented-generation-integrations__card-icon"
|
||||
src="{{ .icon.src }}"
|
||||
alt="{{ .icon.alt }}"
|
||||
/>
|
||||
<div class="retrieval-augmented-generation-integrations__card-info">
|
||||
<h6 class="retrieval-augmented-generation-integrations__card-title">{{ .title }}</h6>
|
||||
<p class="retrieval-augmented-generation-integrations__card-description">{{ .description }}</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
{{ end }}
|
||||
</div>
|
||||
</div>
|
||||
{{ partial "top-and-bottom-overlay" (dict "context" . "class" "retrieval-augmented-generation-integrations") }}
|
||||
</section>
|
||||
{{ end }}
|
||||
@@ -0,0 +1,4 @@
|
||||
<div class="tag">
|
||||
<img class="tag_image" src="{{ .Params.tag.icon.src }}" alt="{{ .Params.tag.icon.alt }}">
|
||||
<p class="tag_title">{{ .Params.tag.title }}</p>
|
||||
</div>
|
||||
@@ -1,9 +1,10 @@
|
||||
<section class="use-cases-vector-cases">
|
||||
{{ $class := .class }}
|
||||
<section class="use-cases-vector-cases {{ $class }}">
|
||||
<div class="container">
|
||||
<h3 class="use-cases-vector-cases__title">{{ .Params.title }}</h3>
|
||||
<h3 class="use-cases-vector-cases__title">{{ .context.Params.title }}</h3>
|
||||
<div class="use-cases-vector-cases__cards row g-4">
|
||||
{{ range .Params.features }}
|
||||
<div class="col-12 col-md-6">
|
||||
{{ range .context.Params.features }}
|
||||
<div class="col-12 {{ if eq $class "ai-agents-use-cases" }}col-xl-4{{ else }}col-md-6{{ end }}">
|
||||
<div class="card use-cases-vector-cases__card">
|
||||
<img class="use-cases-vector-cases__card-image" src="{{ .image.src }}" alt="{{ .image.alt }}" />
|
||||
<img
|
||||
@@ -20,6 +21,6 @@
|
||||
</div>
|
||||
{{ end }}
|
||||
</div>
|
||||
{{ partial "case-study" . }}
|
||||
{{ partial "case-study" .context }}
|
||||
</div>
|
||||
</section>
|
||||
|
||||
@@ -5,7 +5,7 @@
|
||||
<h1 class="use-cases-vector-hero__title">{{ .Params.title }}</h1>
|
||||
<p class="use-cases-vector-hero__description">{{ .Params.description }}</p>
|
||||
<div class="use-cases-vector-hero__buttons">
|
||||
<a href="{{ .Params.startFree.url }}" class="button button_contained button_lg">
|
||||
<a href="{{ .Params.startFree.url }}" class="button button_contained button_lg" target="_blank">
|
||||
{{ .Params.startFree.text }}
|
||||
</a>
|
||||
<a href="{{ .Params.learnMore.url }}" class="button button_outlined button_lg">
|
||||
|
||||
@@ -0,0 +1,38 @@
|
||||
{{ $class := .class }}
|
||||
<section class="use-cases-vector-integrations {{ $class }}">
|
||||
<div class="container">
|
||||
<h4 class="use-cases-vector-integrations__title">{{ .context.Params.title }}</h4>
|
||||
<div class="row g-4 g-lg-5 {{ if eq $class "ai-agents-integrations" }}justify-content-center{{ end }}">
|
||||
{{ range .context.Params.integrations }}
|
||||
<div class="col-12 col-md-6 {{ if eq $class "ai-agents-integrations" }}col-xl-5{{ else }}col-xl-4{{ end }}">
|
||||
{{ if .url }}
|
||||
<a class="use-cases-vector-integrations__card" href="{{ .url }}">
|
||||
<img
|
||||
class="use-cases-vector-integrations__card-icon"
|
||||
src="{{ .icon.src }}"
|
||||
alt="{{ .icon.alt }}"
|
||||
/>
|
||||
<div class="use-cases-vector-integrations__card-info">
|
||||
<h6 class="use-cases-vector-integrations__card-title">{{ .title }}</h6>
|
||||
<p class="use-cases-vector-integrations__card-description">{{ .description }}</p>
|
||||
</div>
|
||||
</a>
|
||||
{{ else }}
|
||||
<div class="use-cases-vector-integrations__card">
|
||||
<img
|
||||
class="use-cases-vector-integrations__card-icon"
|
||||
src="{{ .icon.src }}"
|
||||
alt="{{ .icon.alt }}"
|
||||
/>
|
||||
<div class="use-cases-vector-integrations__card-info">
|
||||
<h6 class="use-cases-vector-integrations__card-title">{{ .title }}</h6>
|
||||
<p class="use-cases-vector-integrations__card-description">{{ .description }}</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
{{ end }}
|
||||
</div>
|
||||
{{ end }}
|
||||
</div>
|
||||
{{ partial "top-and-bottom-overlay" (dict "context" . "class" "use-cases-vector-integrations") }}
|
||||
</section>
|
||||
@@ -9,7 +9,7 @@
|
||||
{{ partial "recommendations-api" . }}
|
||||
|
||||
{{ with (.Site.GetPage "/recommendations/recommendations-use-cases") }}
|
||||
{{ partial "use-cases-vector-cases" . }}
|
||||
{{ partial "use-cases-vector-cases" (dict "context" . "class" "recommendations-use-cases") }}
|
||||
{{ end }}
|
||||
|
||||
|
||||
|
||||
@@ -5,11 +5,15 @@
|
||||
{{ end }}
|
||||
|
||||
{{ partial "retrieval-augmented-generation-features" . }}
|
||||
{{ partial "retrieval-augmented-generation-integrations" . }}
|
||||
|
||||
{{ with (.Site.GetPage "/retrieval-augmented-generation/retrieval-augmented-generation-integrations") }}
|
||||
{{ partial "use-cases-vector-integrations" (dict "context" . "class" "rag-integrations") }}
|
||||
{{ end }}
|
||||
|
||||
{{ partial "retrieval-augmented-generation-evaluation" . }}
|
||||
|
||||
{{ with (.Site.GetPage "/retrieval-augmented-generation/retrieval-augmented-generation-use-cases") }}
|
||||
{{ partial "use-cases-vector-cases" . }}
|
||||
{{ partial "use-cases-vector-cases" (dict "context" . "class" "rag-use-cases") }}
|
||||
{{ end }}
|
||||
|
||||
{{ partial "retrieval-augmented-generation-guide" . }}
|
||||
|
||||
@@ -0,0 +1,3 @@
|
||||
<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="M21.7145 9.37369C20.5481 5.12311 16.6566 2 12.0357 2C6.49312 2 2 6.49312 2 12.0357C2 16.6243 5.07959 20.4936 9.2847 21.6896M17.0535 8.70604C15.9748 7.08358 14.1301 6.01427 12.0357 6.01427C8.71014 6.01427 6.01427 8.71014 6.01427 12.0357C6.01427 14.1301 7.08358 15.9748 8.70604 17.0535M12.0357 12.0357L20.3147 13.2184L18.0971 15.436L22 19.3389L19.3389 22L15.4361 18.0971L13.2184 20.3147L12.0357 12.0357Z" stroke="#2F6FF0" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 598 B |
@@ -0,0 +1,3 @@
|
||||
<svg width="16" height="16" viewBox="0 0 16 16" fill="none" xmlns="http://www.w3.org/2000/svg">
|
||||
<path fill-rule="evenodd" clip-rule="evenodd" d="M3.33333 2.66659C3.15652 2.66659 2.98695 2.73682 2.86193 2.86185C2.7369 2.98687 2.66667 3.15644 2.66667 3.33325V8.66659C2.66667 9.03478 2.36819 9.33325 2 9.33325C1.63181 9.33325 1.33333 9.03478 1.33333 8.66659V3.33325C1.33333 2.80282 1.54405 2.29411 1.91912 1.91904C2.29419 1.54397 2.8029 1.33325 3.33333 1.33325H12.6667C13.1971 1.33325 13.7058 1.54397 14.0809 1.91904C14.456 2.29411 14.6667 2.80282 14.6667 3.33325V8.66659C14.6667 9.03478 14.3682 9.33325 14 9.33325C13.6318 9.33325 13.3333 9.03478 13.3333 8.66659V3.33325C13.3333 3.15644 13.2631 2.98687 13.1381 2.86185C13.013 2.73682 12.8435 2.66659 12.6667 2.66659H3.33333ZM0.195262 10.8618C0.320286 10.7368 0.489856 10.6666 0.666667 10.6666H15.3333C15.7015 10.6666 16 10.9651 16 11.3333C16 12.2173 15.6488 13.0652 15.0237 13.6903C14.3986 14.3154 13.5507 14.6666 12.6667 14.6666H3.33333C2.44928 14.6666 1.60143 14.3154 0.976311 13.6903C0.35119 13.0652 0 12.2173 0 11.3333C0 11.1564 0.0702379 10.9869 0.195262 10.8618ZM1.44771 11.9999C1.54622 12.2785 1.70618 12.5345 1.91912 12.7475C2.29419 13.1225 2.8029 13.3333 3.33333 13.3333H12.6667C13.1971 13.3333 13.7058 13.1225 14.0809 12.7475C14.2938 12.5345 14.4538 12.2785 14.5523 11.9999H1.44771ZM10 6.66659L6.66667 8.66659V4.66659L10 6.66659Z" fill="#EADDFF"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 1.4 KiB |
@@ -0,0 +1,99 @@
|
||||
<svg width="300" height="211" viewBox="0 0 300 211" fill="none" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="M37.8755 130.066L34 132.312V136.802L37.8755 139.048L41.751 136.802V132.312L37.8755 130.066Z" fill="#8547FF"/>
|
||||
<path d="M50.7404 72.807L49.5877 77.135L52.763 80.3104L57.0911 79.1577L58.2438 74.8296L55.0684 71.6543L50.7404 72.807Z" fill="#038585"/>
|
||||
<path d="M235.74 85.807L234.588 90.135L237.763 93.3104L242.091 92.1577L243.244 87.8296L240.068 84.6543L235.74 85.807Z" fill="#2F6FF0"/>
|
||||
<path d="M252.74 141.807L251.588 146.135L254.763 149.31L259.091 148.158L260.244 143.83L257.068 140.654L252.74 141.807Z" fill="#DC244C"/>
|
||||
<path opacity="0.5" d="M150 175.066C169.882 175.066 186 172.604 186 169.566C186 166.529 169.882 164.066 150 164.066C130.118 164.066 114 166.529 114 169.566C114 172.604 130.118 175.066 150 175.066Z" fill="#3D4866"/>
|
||||
<path d="M171.984 104.312C172.196 107.211 174.26 107.435 176.572 112.935C179.526 119.961 180.251 126.788 181.836 134.295C183.812 143.663 189.355 144.329 191.842 143.819C196.323 142.898 198.387 137.539 197.172 131.777C192.683 110.513 184.179 100.456 175.964 100.534C174.434 100.548 171.777 101.487 171.984 104.312Z" fill="url(#paint0_linear_6856_13034)"/>
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Reference in New Issue
Block a user