Unlock Long-Term Memory with LangChain: Persistent Conversations Simplified - part 6

🧠 Looking to make your AI apps remember beyond a single session? In this video, I cover how to implement **long-term memory in LangChain** using tools like vector databases, retrievers, time weighting, parent document chaining, and more — with code examples and real-world use cases. 📘 Full article: https://cholakovit.com/en/ai/langchain/long-term-memory ✅ Topics covered: • What is long-term memory in LangChain? • Using vector databases for persistent recall (Qdrant, Pinecone) • Combining retrievers with memory • TimeWeightedVectorStoreRetriever for recency-based ranking • ParentDocumentRetriever for contextual document linking • Storing & retrieving knowledge at scale 💡 Ideal for devs building RAG pipelines, AI agents, chatbots, and knowledge-based assistants using GPT-4 and LangChain. ▶ More LangChain tutorials: https://cholakovit.com/en/ai/langchain --- 📌 Hashtags: #LangChain #LongTermMemory #GPT4 #OpenAI #VectorStore #Retrievers #LangSmith #LangGraph #RAG #LLM #AIApps #LangChainTutorials 📂 Playlist: “LangChain in Action – Build AI Apps Fast”