Difference between revisions of "LangChain"

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* [https://blog.langchain.dev/langchain-chat/ LangChain Chat]  
 
* [https://blog.langchain.dev/langchain-chat/ LangChain Chat]  
 
* [https://www.mlq.ai/gpt-3-document-assistant-langchain/ Building a GPT-3 Enabled Document Assistant with LangChain | Peter Foy - MLQ.ai]
 
* [https://www.mlq.ai/gpt-3-document-assistant-langchain/ Building a GPT-3 Enabled Document Assistant with LangChain | Peter Foy - MLQ.ai]
* [https://yoheinakajima.com/task-driven-autonomous-agent-utilizing-gpt-4-pinecone-and-langchain-for-diverse-applications/ Task-driven Autonomous Agent Utilizing GPT-4], [[AI-Powered Search#Pinecone|Pinecone]], and [[LangChain]] for Diverse Applications | Yohei Nakajima
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* [https://yoheinakajima.com/task-driven-autonomous-agent-utilizing-gpt-4-pinecone-and-langchain-for-diverse-applications/ Task-driven Autonomous Agent Utilizing GPT-4], [[Agents#Pinecone|Pinecone]], and [[LangChain]] for Diverse Applications | Yohei Nakajima
 
** [[Generative Pre-trained Transformer (GPT)#Autonomous GPT-4|Autonomous GPT-4]]
 
** [[Generative Pre-trained Transformer (GPT)#Autonomous GPT-4|Autonomous GPT-4]]
 
* [https://vercel.com/templates/next.js/agent-gpt AgentGPT template | Vercel] ... Assemble, configure, and deploy autonomous AI Agents in your browser, using LangChain, [[OpenAI]], [[Agents#AutoGPT|AutoGPT]] and T3 Stack
 
* [https://vercel.com/templates/next.js/agent-gpt AgentGPT template | Vercel] ... Assemble, configure, and deploy autonomous AI Agents in your browser, using LangChain, [[OpenAI]], [[Agents#AutoGPT|AutoGPT]] and T3 Stack

Revision as of 10:02, 15 April 2023

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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.


Getting Started

Data Independent - tutorial videos

reference videos throughout page



My Documents


Long documents

Memory

Emails

Zapier


Tabular Data

Javascript

Pinecone

Supabase

Water

Visual ChatGPT

Summarization

Hugging Face

LLama

GPT-Index

Comparing Large Language Models (LLM)

Gradio

Filtering LLM

Taxes

More