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12 – building-and-interacting-with-the-agent.mkv
09:03
22 – conclusion.mkv
00:53
21 – deploying-the-app-to-streamlit-community-cloud.mkv
05:31
20 – using-the-pinecone-index-in-the-streamlit-app.mkv
02:42
19 – creating-an-index-manager-for-pinecone.mkv
11:29
18 – getting-an-api-key-from-pinecone.mkv
03:09
17 – building-a-chat-ui-with-streamlit.mkv
13:34
16 – building-a-class-to-interact-with-the-agent.mkv
04:53
15 – building-a-class-to-manage-the-index.mkv
06:13
14 – enhancing-the-prompt-to-download-files.mkv
07:39
13 – downloading-the-papers-and-fetching-new-papers.mkv
05:15
01 – introduction.mkv
01:46
11 – creating-the-rag-query-engine-tool.mkv
10:33
10 – building-the-index-and-saving-it-locally.mkv
11:55
09 – defining-the-embed-and-llm-models.mkv
03:40
08 – creating-a-tool-to-download-papers.mkv
03:48
07 – creating-a-tool-to-fetch-papers-from-arxiv.mkv
08:11
06 – vector-embeddings.mkv
02:37
05 – what-are-agents.mkv
05:04
04 – understanding-llamaindex-and-rag.mkv
03:39
03 – getting-an-openai-api-key.mkv
03:16
02 – setting-up-the-development-environment.mkv
15:19
Build an AI Agent (OpenAI, LlamaIndex, Pinecone & Streamlit) (Skillshare – Engsub)
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