Zero To Mastery - Build an LLM-Powered Q&A App using LangChain, OpenAI and Python

Files Included :

1 Project Demo.mp4 (20.38 MB)
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10 LangChain Agents in Action.mp4 (12.87 MB)
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11 Short Recap of Embeddings.mp4 (4.22 MB)
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12 Introduction to Vector Databases.mp4 (16.13 MB)
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13 Splitting and Embedding Text Using LangChain.mp4 (30.8 MB)
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14 Inserting the Embeddings into a Pinecone Index.mp4 (20.1 MB)
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15 Asking Questions (Similarity Search).mp4 (22.43 MB)
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2 Introduction to LangChain.mp4 (12.99 MB)
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3 Setting Up The Environment LangChain, Pinecone, and Python-dotenv.mp4 (30.09 MB)
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4 LLM Models (Wrappers) GPT-3.mp4 (17.04 MB)
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5 ChatModels GPT-3 5-Turbo and GPT-4.mp4 (12.33 MB)
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6 Prompt Templates.mp4 (14.21 MB)
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7 Simple Chains.mp4 (18.79 MB)
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8 Sequential Chains.mp4 (24.87 MB)
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9 Introduction to LangChain Agents.mp4 (10.89 MB)
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16 Project Introduction.mp4 (17.91 MB)
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17 Loading Your Custom (Private) PDF Documents.mp4 (20.27 MB)
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18 Loading Different Document Formats.mp4 (14.59 MB)
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19 Public and Private Service Loaders.mp4 (14.49 MB)
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20 Chunking Strategies and Splitting the Documents.mp4 (18.35 MB)
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21 Embedding and Uploading to a Vector Database (Pinecone).mp4 (35.39 MB)
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22 Asking and Getting Answers.mp4 (33.57 MB)
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23 Adding Memory (Chat History).mp4 (28.43 MB)
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