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!
Windows has just released Dev Home - a centralized control center for developers!๐จโ๐ป๐ฉโ๐ป
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!๐คฏ
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!๐๐
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.๐จโ๐ป๐ฉโ๐ป
Dev Home extensions power the functionality of Dev Home's customizable widgets.