LangStream
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About
LangStream is an open-source, event-driven developer platform designed for creating streaming Generative AI applications with Large Language Models (LLMs). The platform allows developers to build applications quickly using no-code agents for text-to-vector-database pipelines and prompt templating for various LLMs. It integrates with technologies such as OpenAI, Google Vertex AI, Hugging Face, and popular vector databases like Pinecone. LangStream also includes a Visual Studio Code extension to facilitate code deployment, updating, log analysis, and sharing code snippets. It allows users to tap into both static and streaming data, optimizing prompt construction for better AI responses. The platform supports custom agents and provides a robust architecture using Kubernetes and Kafka, ensuring fault tolerance, scalability, and ease of use in developing AI applications. LangStream combines event-driven architecture with advanced Gen AI technologies to enhance application performance and dynamic interaction capabilities.
Platform
Task
Features
• event-driven architecture
• deployment using kubernetes and kafka
• support for both static and streaming data
• customizable application agents
• no-code agents for rapid development
• integration with major llms
FAQs
What is LangStream?
LangStream is an open-source project for creating streaming Gen AI applications, combining event-based architectures with the latest Gen AI technologies.
How does LangStream help in the development of Gen AI applications?
It allows you to build applications that capitalize on LLMs by ensuring data from various sources is available to construct high-quality prompts.
Is LangStream open-source?
Yes, LangStream is open source, and you can find the project on GitHub.
What are the advantages of an event-driven architecture for Gen AI applications?
Advantages include scalability, real-time processing, loose coupling, and improved fault tolerance.
Does LangStream support RAG (retrieval augmented generation) techniques?
Yes, LangStream supports RAG, enabling LLMs to pull in up-to-date information from external retrieval systems.
Where can I seek help or give feedback on LangStream?
You can join the LangStream Slack channel for support, feedback, or discussions.
What technologies does LangStream integrate with?
LangStream integrates with OpenAI, Google Vertex AI, Hugging Face, Pinecone, DataStax, LangChain, and LlamaIndex.
How can I get started with LangStream?
You can start by reviewing the documentation and available Visual Studio Code extension.
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