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Sabrina
2025-01-20 15:58:04 -03:00
parent 9267ab1908
commit 4c33ee9895
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qdrant-landing/content/documentation/agentic-rag-camelai-discord.md
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@@ -4,7 +4,7 @@ weight: 14
partition: build partition: build
--- ---
![agentic-rag-camelai-astronaut](/documentation/examples//agentic-rag-camelai/astronaut-main.png) ![agentic-rag-camelai-astronaut](/documentation/examples//agentic-rag-camelai-discord/astronaut-main.png)
# Agentic RAG Discord ChatBot with Qdrant, CAMEL-AI, & OpenAI # Agentic RAG Discord ChatBot with Qdrant, CAMEL-AI, & OpenAI
@@ -49,7 +49,7 @@ Below is a high-level look at our Agentic RAG workflow:
Below is the architecture diagram representing the workflow and interactions of the chatbot: Below is the architecture diagram representing the workflow and interactions of the chatbot:
![Architecture Diagram](/documentation/examples/agentic-rag-camelai/architecture-diagram.jpg) ![Architecture Diagram](/documentation/examples/agentic-rag-camelai-discord/architecture-diagram.jpg)
The workflow starts with data ingestion. HTML documents are scraped using BeautifulSoup to extract text content, forming the knowledge base for the system. The workflow starts with data ingestion. HTML documents are scraped using BeautifulSoup to extract text content, forming the knowledge base for the system.
@@ -467,7 +467,7 @@ discord_q_bot.run()
3. Start chatting with the bot in your Discord server. It will retrieve context from Qdrant and provide relevant answers based on your queries. 3. Start chatting with the bot in your Discord server. It will retrieve context from Qdrant and provide relevant answers based on your queries.
![agentic-rag-discord-bot-what-is-quantization](/documentation/examples/agentic-rag-camelai/example.png) ![agentic-rag-discord-bot-what-is-quantization](/documentation/examples/agentic-rag-camelai-discord/example.png)
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qdrant-landing/static/documentation/examples/agentic-rag-camelai/architecture-diagram.jpg → qdrant-landing/static/documentation/examples/agentic-rag-camelai-discord/architecture-diagram.jpg
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