Mastering LangChain Retrievals: A Guide to Intelligent Information Access - part 4 скачать в хорошем качестве

Mastering LangChain Retrievals: A Guide to Intelligent Information Access - part 4

🔍 Master data retrieval in LangChain with this complete guide to retrievers like VectorStoreRetriever, MMR, Contextual Compression, SelfQueryRetriever, ParentDocument, and more. This video breaks down how LangChain fetches relevant information from vector databases like Qdrant or Pinecone and explains how to optimize retrievals for accuracy, speed, and context quality. 📘 Read the full guide: https://cholakovit.com/en/ai/langchai... 🧠 Topics covered: • What is a retriever in LangChain? • VectorStoreRetriever and how it works • MultiQueryRetriever for better coverage • ContextualCompressionRetriever for noise reduction • EnsembleRetriever, ParentDocumentRetriever, TimeWeightedRetriever • Real-world use cases for Retrieval-Augmented Generation (RAG) ▶ More tutorials & code examples: https://cholakovit.com/en/ai/langchain 💬 Got questions? Drop them in the comments or visit my site. --- 📌 Hashtags: #LangChain #Retrieval #VectorSearch #RAG #Qdrant #LangChainTutorials #OpenAI #LLM #SelfQuery #CompressionRetriever #LangGraph #LangSmith 📂 Playlist: “LangChain in Action – Build AI Apps Fast”