Conversational Memory in LangChain for 2025

James Briggs · Beginner ·🧠 Large Language Models ·9mo ago
Conversational memory allows our chatbots and agents to remember previous interactions within a conversation. Without conversational memory, our chatbots would only ever be able to respond to the last message they received, essentially forgetting all previous messages with each new message. Naturally, conversations require our chatbots to be able to respond over multiple interactions and refer to previous messages to understand the context of the conversation. LangChain versions 0.0.x consisted of various conversational memory types. Most of these are due to deprecation, but they still hold …
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Chapters (11)

Conversational Memory in LangChain
1:12 LangChain Chat Memory Types
4:26 LangChain ConversationBufferMemory
8:23 Buffer Memory with LCEL
13:14 LangChain ConversationBufferWindowMemory
16:01 Buffer Window Memory with LCEL
22:32 LangChain ConversationSummaryMemory
25:17 Summary Memory with LCEL
30:12 Token Usage in LangSmith
32:08 Conversation Summary Buffer Memory
34:36 Summary Buffer with LCEL

Playlist

Playlist UUv83tO5cePwHMt1952IVVHw · James Briggs · 0 of 60

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Stoic Philosophy Text Generation with TensorFlow
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Text Summarization with Google AI's T5 in Python
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 10 Sequential Model - TensorFlow Essentials #1
Sequential Model - TensorFlow Essentials #1
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 11 Functional API - TensorFlow Essentials #2
Functional API - TensorFlow Essentials #2
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 12 Training Parameters - TensorFlow Essentials #3
Training Parameters - TensorFlow Essentials #3
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 13 Input Data Pipelines - TensorFlow Essentials #4
Input Data Pipelines - TensorFlow Essentials #4
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6 of Python's Newest and Best Features (3.7-3.9)
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Building a PlotLy $GME Chart in Python
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How-to Use The Reddit API in Python
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 18 How to Build Custom Q&A Transformer Models in Python
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 19 How to Build Q&A Models in Python (Transformers)
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How-to Decode Outputs From NLP Models (Python)
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 22 Sentiment Analysis on ANY Length of Text With Transformers (Python)
Sentiment Analysis on ANY Length of Text With Transformers (Python)
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 23 Unicode Normalization for NLP in Python
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Multi-Class Language Classification With BERT in TensorFlow
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How-to Structure a Q&A ML App
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How to Use Type Annotations in Python
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 31 Extractive Q&A With Haystack and FastAPI in Python
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 32 Sentence Similarity With Sentence-Transformers in Python
Sentence Similarity With Sentence-Transformers in Python
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 33 Sentence Similarity With Transformers and PyTorch (Python)
Sentence Similarity With Transformers and PyTorch (Python)
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 34 NER With Transformers and spaCy (Python)
NER With Transformers and spaCy (Python)
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 35 Training BERT #1 - Masked-Language Modeling (MLM)
Training BERT #1 - Masked-Language Modeling (MLM)
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 36 Training BERT #2 - Train With Masked-Language Modeling (MLM)
Training BERT #2 - Train With Masked-Language Modeling (MLM)
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 37 Training BERT #3 - Next Sentence Prediction (NSP)
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 38 Training BERT #4 - Train With Next Sentence Prediction (NSP)
Training BERT #4 - Train With Next Sentence Prediction (NSP)
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 39 FREE 11 Hour NLP Transformers Course (Next 3 Days Only)
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 40 New Features in Python 3.10
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 41 Training BERT #5 - Training With BertForPretraining
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 42 How-to Use HuggingFace's Datasets - Transformers From Scratch #1
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 43 Build a Custom Transformer Tokenizer - Transformers From Scratch #2
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 44 3 Traditional Methods for Similarity Search (Jaccard, w-shingling, Levenshtein)
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 45 3 Vector-based Methods for Similarity Search (TF-IDF, BM25, SBERT)
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 46 Building MLM Training Input Pipeline - Transformers From Scratch #3
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 47 Training and Testing an Italian BERT - Transformers From Scratch #4
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 48 Faiss - Introduction to Similarity Search
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 49 Angular App Setup With Material - Stoic Q&A #5
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 50 Why are there so many Tokenization methods in HF Transformers?
Why are there so many Tokenization methods in HF Transformers?
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 51 Choosing Indexes for Similarity Search (Faiss in Python)
Choosing Indexes for Similarity Search (Faiss in Python)
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 52 Locality Sensitive Hashing (LSH) for Search with Shingling + MinHashing (Python)
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 53 How LSH Random Projection works in search (+Python)
How LSH Random Projection works in search (+Python)
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 54 IndexLSH for Fast Similarity Search in Faiss
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 56 Product Quantization for Vector Similarity Search (+ Python)
Product Quantization for Vector Similarity Search (+ Python)
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How to Build a Bert WordPiece Tokenizer in Python and HuggingFace
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