Overview, Tutorial, and Examples of LangChain
See the accompanying tutorials on YouTube
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If you're new to Jupyter Notebooks or Colab, check out this video
New To LangChain? Recommended Learning Path:
LangChain CookBook Part 1: 7 Core Concepts - Code , Video
LangChain CookBook Part 2: 9 Use Cases - Code , Video
Explore the projects below and jump into the deep dives
Prompt Engineering (my favorite resources):
Prompt Engineering Overview by Elvis Saravia ChatGPT Prompt Engineering for Developers - Prompt engineering basics straight from OpenAIBrex's Prompt Engineering Guide
π€ Project Gallery π Beginner = Entry level projects to practice LangChain
π Intermediate = In depth use of LangChain
π¦ Advanced = Advanced or custom implementations of LangChain
π SummarizationDeep Dive: Code , Video
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SummarizePaper.com Quentin Kral
π Intermediateβ
Code Summarize arXiv papers
β Question and Answering Over Documents
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ChatPDF Ashish Talati π Intermediateβ
Code Chat and Ask on your own data
π¦ Extraction
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Kor Eugene Yurtsev π Intermediateβ
Code This is a half-baked prototype that βhelpsβ you extract structured data from text using large language models (LLMs) 𧩠.
OpeningAttributes @gregkamradt π Beginnerβ
Code Extract technologies & tools from job descriptions
π Evaluationπ Querying Tabular Data
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TBD
π» Code Understanding
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TBD
π Interacting with APIs
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TBD
π¬ Chatbots
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LangChain ChatBot David Peterson π Intermediateβ
Code Input your PDF documents and analyze, ask questions, or do calculations on the data.
π€ Agentsπ½ Other π½
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Slack-GPT @martinseanhunt π Intermediateβ
Code A simple starter for a Slack app / chatbot that uses the Bolt.js Slack app framework, Langchain, openAI and a Pinecone vectorstore to provide LLM generated answers to user questions based on a custom data set.
π ContributingAs an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of updating code, better documentation, or project to feature.
Submit a PR with notes.
This repo and series is provided by DataIndependent and run by Greg Kamradt
