LangChain Decoded: The Muggles Guide to LangChain
LangChain is an open-source framework created by Harrison Chase to aid the development of applications leveraging the power of large language models (LLMs). It can be used for chatbots, text summarisation, data generation, code understanding, question answering, evaluation, and more. LangChain offers several modules for a variety of use cases, and is building out a robust ecosystem too. In this multi-part series, I explore the various LangChain modules and use cases, and document my journey via Python notebooks on GitHub.
LangChain Decoded: Part 1 - Models
An exploration of the LangChain framework and modules in multiple parts; this post covers Models.
LangChain Decoded: Part 2 - Embeddings
An exploration of the LangChain framework and modules in multiple parts; this post covers Embeddings.
LangChain Decoded: Part 3 - Prompts
An exploration of the LangChain framework and modules in multiple parts; this post covers Prompts.
LangChain Decoded: Part 4 - Indexes
An exploration of the LangChain framework and modules in multiple parts; this post covers Indexes.
LangChain Decoded: Part 5 - Memory
An exploration of the LangChain framework and modules in multiple parts; this post covers Memory.
Part 6: Chains (coming soon)
Part 7: Agents (coming soon)
Part 8: Callbacks (coming soon)
Persistent AI Chat Bots with LangChain and Steamship
A brief guide to deploying persistent-memory AI chatbots with LangChain and Steamship.
Query Your Own Documents with LlamaIndex and LangChain
A brief guide to indexing and querying your own documents using LlamaIndex and LangChain.
Prototype LangChain Flows Visually with LangFlow
A brief on experimenting with and prototyping LangChain flows with LangFlow.
Summarize Text with LangChain and OpenAI
A brief guide to summarizing text inputs with LangChain and OpenAI.
Summarize Documents with LangChain and Chroma
A brief guide to summarizing documents with LangChain and Chroma vector store.
Generative Question-Answering with LangChain and Pinecone
A brief guide to generative question-answering with LangChain LLM framework and Pinecone vector database.
Summarize Documents with LangChain and Pinecone
A brief guide to document summarization with LangChain LLM framework and Pinecone vector database.
Summarize Google News Results with LangChain and Serper API
A brief guide to Google news search and AI-generated summaries with LangChain LLM framework and Serper API.
Blinkist for URLs with LangChain and OpenAI
A brief guide to AI-generated web URL summaries with LangChain and OpenAI.