Joris de Jong Profile picture
May 31 โ€ข 8 tweets โ€ข 4 min read Twitter logo Read on Twitter
New colab!

@LangChainAI ๐Ÿค @elastic

LangChain is a cutting-edge library to make large language models (LLMs) more usable and versatile.

In synergy with ElasticSearch, this powerful duo opens new doors in application development and search applications.

Let's dive in ๐Ÿงต

#AI
LangChain is a toolbox providing a standard interface for LLMs & facilitating their integration with other tools.

It makes developing applications like chatbots, decision-making agents, and more, easier by blending LLMs with other computations & knowledge bases.
Who's it for?

@LangChainAI is perfect for developers looking to harness the potential of LLMs to build transformative applications.

From question-answering apps to intelligent agents, the scope of possibilities with LangChain is immense.
How does @elastic fit in?

Elastic's fast and scalable engine is ideal for storing, searching, and analyzing large volumes of data.

Its ability to handle hybrid scoring & real-time context is what makes it a perfect companion to LangChain's capabilities.
Elastic can also store chat history between users and LLMs, enabling LangChain to retrieve and use this information for more coherent conversations.

Elastic & LangChain work together to create truly responsive & intuitive applications.
This duo can work whether the LLM is hosted by a third party like OpenAI, or you are hosting your own open-source model in your tenant.

LangChain is LLM agnostic, making the combo of LangChain and Elasticsearch flexible & versatile.
Elastic recently made its first PR to LangChain, introducing ElasticsearchEmbeddings.

This module simplifies the process of generating embeddings, supports custom input text fields & is compatible with supported models deployed in Elasticsearch.
The synergy between @LangChainAI and @elastic is just the beginning of a long, fruitful collaboration.

Stay tuned for more exciting developments that push the boundaries of what's possible with large language models!

#AI #ML #LLMs #Technology

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More from @Jorisdejong4561

May 30
Windows has just released Dev Home - a centralized control center for developers!๐Ÿ‘จโ€๐Ÿ’ป๐Ÿ‘ฉโ€๐Ÿ’ป

With Dev Home, you can monitor your projects, set up your dev environment, connect to your developer accounts and tools, and create a Dev Drive for storage all in one place!๐Ÿคฏ
Use customizable widgets on the dashboard to monitor workflows, track your dev projects, coding tasks, GitHub issues, pull requests, available SSH connections, and system performance!๐Ÿ“ˆ๐Ÿ“Š
Connect your GitHub account to Dev Home and begin creating customized GitHub widgets for your dashboard! Learn more about the Dev Home GitHub extension and how to set up Windows notifications.๐Ÿ‘จโ€๐Ÿ’ป๐Ÿ‘ฉโ€๐Ÿ’ป

Dev Home extensions power the functionality of Dev Home's customizable widgets.
Read 4 tweets
May 21
Want to code quickly with @LangChainAI?

Here's a small @LangChainAI Cheat Sheet I use. It has 8 use cases for quick development <30 lines of code.

Let me know what else I should add to the list and I'll update it!

Thanks to LangChain and @hwchase17 for the great documentation. Image
1๏ธโƒฃ Unlock the power of your Excel data with @LangChainAI's CSV Agent!

Easily communicate with your Excel spreadsheets, perform data manipulation, and extract valuable insights.

Say goodbye to manual data handling and hello to efficient automation. Image
2๏ธโƒฃ Never get lost in lengthy PDFs again!

With LangChain, you can summarize PDF documents in a flash. Quickly extract key information and gain a comprehensive overview.

Save time and focus on what truly matters. Image
Read 10 tweets

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