434.99 MB | 5min 16s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English
Files Included :
FileName :01-Introduction to document loaders and data ingestion.mp4 | Size: (8.26 MB)
FileName :02-Understanding the Document object.mp4 | Size: (4.16 MB)
FileName :03-Working with common file-based document loaders.mp4 | Size: (14.25 MB)
FileName :04-Loading data from web and API sources.mp4 | Size: (13.1 MB)
FileName :05-Batch loading and processing large document collections.mp4 | Size: (16.41 MB)
FileName :06-Lazy loading for memory-efficient document ingestion.mp4 | Size: (6.37 MB)
FileName :01-Why text splitting is required.mp4 | Size: (4.68 MB)
FileName :02-Introduction to text splitters in LangChain.mp4 | Size: (4.99 MB)
FileName :03-CharacterTextSplitter for simple splitting.mp4 | Size: (19.23 MB)
FileName :04-RecursiveCharacterTextSplitter for preserving semantic boundaries.mp4 | Size: (10.51 MB)
FileName :05-Configuring chunk size and overlap.mp4 | Size: (13.6 MB)
FileName :06-Specialized splitters for structured content.mp4 | Size: (16.77 MB)
FileName :01-Why embeddings are needed.mp4 | Size: (3.76 MB)
FileName :02-Embeddings as vector representations.mp4 | Size: (8.61 MB)
FileName :03-Embedding models in practice with LangChain.mp4 | Size: (15.47 MB)
FileName :04-Understanding similarity between embeddings.mp4 | Size: (12.31 MB)
FileName :05-Embedding dimensions and performance tradeoffs.mp4 | Size: (6.92 MB)
FileName :06-Evaluating embedding quality and limitations.mp4 | Size: (16.59 MB)
FileName :01-What are vector stores and why do you need them.mp4 | Size: (8.51 MB)
FileName :02-Working with vector stores using LangChain.mp4 | Size: (3.87 MB)
FileName :03-Working with Facebook AI Similarity Search FAISS for local vector search.mp4 | Size: (12.87 MB)
FileName :04-Working with Pinecone for scalable vector search.mp4 | Size: (13.27 MB)
FileName :05-Performing similarity search with different distance metrics.mp4 | Size: (10.31 MB)
FileName :06-Metadata filtering and hybrid search.mp4 | Size: (11.96 MB)
FileName :07-Maximal marginal relevance MMR for diverse retrieval.mp4 | Size: (9.72 MB)
FileName :01-Understanding the retriever abstraction in LangChain.mp4 | Size: (9.08 MB)
FileName :02-Implementing different types of retrievers in LangChain.mp4 | Size: (14.01 MB)
FileName :03-Improving recall with multi-query retrieval.mp4 | Size: (10.4 MB)
FileName :04-Improving precision with contextual compression.mp4 | Size: (11.58 MB)
FileName :05-Evaluating retrieval systems.mp4 | Size: (9.07 MB)
FileName :06-Trade-offs in retrieval systems.mp4 | Size: (5.34 MB)
FileName :01-Querying structured data in LangChain.mp4 | Size: (6.35 MB)
FileName :02-Natural language to SQL using LCEL and agents.mp4 | Size: (17.01 MB)
FileName :03-Challenges in querying structured data with LLMs.mp4 | Size: (14.69 MB)
FileName :04-Reliable querying with LLMs.mp4 | Size: (11.15 MB)
FileName :05-Hybrid systems Combining structured and unstructured data.mp4 | Size: (20.64 MB)
FileName :06-Selecting the appropriate data access approach.mp4 | Size: (5.87 MB)]
Screenshot
FileName :01-Introduction to document loaders and data ingestion.mp4 | Size: (8.26 MB)
FileName :02-Understanding the Document object.mp4 | Size: (4.16 MB)
FileName :03-Working with common file-based document loaders.mp4 | Size: (14.25 MB)
FileName :04-Loading data from web and API sources.mp4 | Size: (13.1 MB)
FileName :05-Batch loading and processing large document collections.mp4 | Size: (16.41 MB)
FileName :06-Lazy loading for memory-efficient document ingestion.mp4 | Size: (6.37 MB)
FileName :01-Why text splitting is required.mp4 | Size: (4.68 MB)
FileName :02-Introduction to text splitters in LangChain.mp4 | Size: (4.99 MB)
FileName :03-CharacterTextSplitter for simple splitting.mp4 | Size: (19.23 MB)
FileName :04-RecursiveCharacterTextSplitter for preserving semantic boundaries.mp4 | Size: (10.51 MB)
FileName :05-Configuring chunk size and overlap.mp4 | Size: (13.6 MB)
FileName :06-Specialized splitters for structured content.mp4 | Size: (16.77 MB)
FileName :01-Why embeddings are needed.mp4 | Size: (3.76 MB)
FileName :02-Embeddings as vector representations.mp4 | Size: (8.61 MB)
FileName :03-Embedding models in practice with LangChain.mp4 | Size: (15.47 MB)
FileName :04-Understanding similarity between embeddings.mp4 | Size: (12.31 MB)
FileName :05-Embedding dimensions and performance tradeoffs.mp4 | Size: (6.92 MB)
FileName :06-Evaluating embedding quality and limitations.mp4 | Size: (16.59 MB)
FileName :01-What are vector stores and why do you need them.mp4 | Size: (8.51 MB)
FileName :02-Working with vector stores using LangChain.mp4 | Size: (3.87 MB)
FileName :03-Working with Facebook AI Similarity Search FAISS for local vector search.mp4 | Size: (12.87 MB)
FileName :04-Working with Pinecone for scalable vector search.mp4 | Size: (13.27 MB)
FileName :05-Performing similarity search with different distance metrics.mp4 | Size: (10.31 MB)
FileName :06-Metadata filtering and hybrid search.mp4 | Size: (11.96 MB)
FileName :07-Maximal marginal relevance MMR for diverse retrieval.mp4 | Size: (9.72 MB)
FileName :01-Understanding the retriever abstraction in LangChain.mp4 | Size: (9.08 MB)
FileName :02-Implementing different types of retrievers in LangChain.mp4 | Size: (14.01 MB)
FileName :03-Improving recall with multi-query retrieval.mp4 | Size: (10.4 MB)
FileName :04-Improving precision with contextual compression.mp4 | Size: (11.58 MB)
FileName :05-Evaluating retrieval systems.mp4 | Size: (9.07 MB)
FileName :06-Trade-offs in retrieval systems.mp4 | Size: (5.34 MB)
FileName :01-Querying structured data in LangChain.mp4 | Size: (6.35 MB)
FileName :02-Natural language to SQL using LCEL and agents.mp4 | Size: (17.01 MB)
FileName :03-Challenges in querying structured data with LLMs.mp4 | Size: (14.69 MB)
FileName :04-Reliable querying with LLMs.mp4 | Size: (11.15 MB)
FileName :05-Hybrid systems Combining structured and unstructured data.mp4 | Size: (20.64 MB)
FileName :06-Selecting the appropriate data access approach.mp4 | Size: (5.87 MB)]
Screenshot
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