Difference between revisions of "LangChain"
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|description=Helpful resources for your journey with artificial intelligence; Attention, GPT, chat, videos, articles, techniques, courses, profiles, and tools | |description=Helpful resources for your journey with artificial intelligence; Attention, GPT, chat, videos, articles, techniques, courses, profiles, and tools | ||
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| − | [https://www.youtube.com/results?search_query= | + | [https://www.youtube.com/results?search_query=LangChain+GPT+AI YouTube] |
| − | [https://www.quora.com/search?q= | + | [https://www.quora.com/search?q=LangChain%20%GPT20AI ... Quora] |
| − | [https://www.google.com/search?q= | + | [https://www.google.com/search?q=LangChain+GPT+AI ...Google search] |
| − | [https://news.google.com/search?q= | + | [https://news.google.com/search?q=LangChain+GPT+AI ...Google News] |
| − | [https://www.bing.com/news/search?q= | + | [https://www.bing.com/news/search?q=LangChain+GPT+AI&qft=interval%3d%228%22 ...Bing News] |
| − | * [https://hwchase17.github.io/langchainjs/docs/overview/ | + | * [https://hwchase17.github.io/langchainjs/docs/overview/ LangChain | GitHub] |
* [https://www.linkedin.com/in/harrison-chase-961287118/ Harrison Chase | LinkedIn] ... [https://github.com/hwchase17 GitHub] ... [https://twitter.com/hwchase17?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor Twitter] | * [https://www.linkedin.com/in/harrison-chase-961287118/ Harrison Chase | LinkedIn] ... [https://github.com/hwchase17 GitHub] ... [https://twitter.com/hwchase17?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor Twitter] | ||
* [[Case Studies]] | * [[Case Studies]] | ||
** [[Writing/Publishing]] | ** [[Writing/Publishing]] | ||
| − | * [[Assistants]] ... [[Hybrid Assistants]] ... [[Agents]] ... [[Negotiation]] ... [[ | + | * [[Assistants]] ... [[Hybrid Assistants]] ... [[Agents]] ... [[Negotiation]] ... [[LangChain]] |
* [[Python]] ... [[Generative AI with Python]] ... [[Javascript]] ... [[Generative AI with Javascript]] ... [[Game Development with Generative AI]] | * [[Python]] ... [[Generative AI with Python]] ... [[Javascript]] ... [[Generative AI with Javascript]] ... [[Game Development with Generative AI]] | ||
* [[Development]] ...[[Development#AI Pair Programming Tools|AI Pair Programming Tools]] ... [[Analytics]] ... [[Visualization]] ... [[Diagrams for Business Analysis]] | * [[Development]] ...[[Development#AI Pair Programming Tools|AI Pair Programming Tools]] ... [[Analytics]] ... [[Visualization]] ... [[Diagrams for Business Analysis]] | ||
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| − | <b> | + | <b>LangChain</b> is a [[Python]] framework built around [[Large Language Model (LLM)]] that can be used for chatbots, Generative Question-Answering (GQA), summarization, and more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around [[Large Language Model (LLM)|LLMs]]. [[Large Language Model (LLM)|LLMs]] are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you are able to combine them with other sources of computation or knowledge. |
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= My Documents = | = My Documents = | ||
| − | * [https://colab.research.google.com/drive/1-BI7NBxO6O-fYwjDoTUKrC3lmrWu0I0R?usp=sharing | + | * [https://colab.research.google.com/drive/1-BI7NBxO6O-fYwjDoTUKrC3lmrWu0I0R?usp=sharing LangChain QA over docs | Colab] |
<youtube>EnT-ZTrcPrg</youtube> | <youtube>EnT-ZTrcPrg</youtube> | ||
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= Javascript = | = Javascript = | ||
* [https://www.npmjs.com/package/chatgpt Node.js client for the official ChatGPT API] | * [https://www.npmjs.com/package/chatgpt Node.js client for the official ChatGPT API] | ||
| − | * [https://github.com/hwchase17/langchainjs | + | * [https://github.com/hwchase17/langchainjs LangChainjs | Harrison Chase - GitHub] |
<youtube>veV2I-NEjaM</youtube> | <youtube>veV2I-NEjaM</youtube> | ||
Revision as of 21:19, 22 March 2023
YouTube ... Quora ...Google search ...Google News ...Bing News
- LangChain | GitHub
- Harrison Chase | LinkedIn ... GitHub ... Twitter
- Case Studies
- Assistants ... Hybrid Assistants ... Agents ... Negotiation ... LangChain
- Python ... Generative AI with Python ... Javascript ... Generative AI with Javascript ... Game Development with Generative AI
- Development ...AI Pair Programming Tools ... Analytics ... Visualization ... Diagrams for Business Analysis
- Generative AI ... OpenAI's ChatGPT ... Perplexity ... Microsoft's BingAI ... You ...Google's Bard ... Baidu's Ernie
- Natural Language Processing (NLP) ...Generation ...LLM ...Tools & Services
- Prompt Engineering (PE)
- LangChain Chat
- Building a GPT-3 Enabled Document Assistant with LangChain | Peter Foy - MLQ.ai
LangChain is a Python framework built around Large Language Model (LLM) that can be used for chatbots, Generative Question-Answering (GQA), summarization, and more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs. LLMs are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you are able to combine them with other sources of computation or knowledge.
Contents
Getting Started
Data Independent - tutorial videos
reference videos throughout page
My Documents
Long documents
Memory
Emails
Zapier
Javascript
Pinecone
Supabase
Water
Visual ChatGPT
Summarization
Hugging Face
LLama
GPT-Index
Comparing Large Language Models (LLM)
Gradio
Filtering LLM
Taxes
More
