BEYOND THE ORDINARY
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Unlock the Potential of Human-like Language Understanding with Langchain
If you’re looking for a Langchain engineer, you’ve come to the right place.. We can help you build custom solutions that
meet your specific needs.
Langchain, a framework for LLM-based app development, garners support from numerous GitHub contributors, Twitter discussions, a thriving Discord community, YouTube guides, and meetups in San Francisco and London. Langchain has transformed into a company centered on its open-source packages for language model app creation.
History of Langchain:
Langchain was created by Harrison Chase in October 2022 as an open-source project while he was working at machine learning startup Robust Intelligence The explosion of interest in Large Language Models (LLMs) contributed to the popularity of Langchain, which has become one of the fastest-growing open-source projects in history
OUR LANGCHAIN LIFECYCLE
2023-05-16:LangChain Release Notes
2023-07-28:Playground offers streaming, robust backend.
2023-08-24:Langchain-ai/langchain releases: v0.0.276, v0.0.275,
v0.0.274 with updates and contributors.
specifics of Langchain:
Start by importing the necessary components and tools, such as LLMs, chat models, agents, chains, and memory features
Combine these components to create an application that can understand, process, and respond to user inputs.
Use Langchain to manage interactions with language models, chain together multiple components, and integrate additional resources,such as APIs and databases
Langchain can be used to develop applications that handle text summarisation tasks efficiently. With Langchain, you can leverage Data Augmented Generation to interact with external data sources and summarize long pieces of text, making it easy for users to digest key information
Langchain can be used to build applications that provide question-answering capabilities. By integrating with a large language model, you can create a question-answering system that can search specific documents or databases, providing users with precise answers to their queries
Langchain can be used to build chatbots that can interact with users in natural language. With Langchain, you can create chatbots that can understand user intent and provide appropriate responses
We’re excited to start soon!