Difference between revisions of "LangChain"

From
Jump to: navigation, search
m
m
Line 26: Line 26:
  
  
LangChain is a 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.
+
<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.
  
 
   
 
   

Revision as of 13:22, 22 March 2023

YouTube ... Quora ...Google search ...Google News ...Bing News



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

Emails


Zapier

Javascript


Pinecone

Supabase


Visual ChatGPT

Summarization



Hugging Face

LLama

GPT-Index

Comparing Large Language Models (LLM)

Filtering LLM


More