RAGStack

Production-Ready RAG

RAGStack is an out of the box solution simplifying retrieval-augmented generation (RAG) in GenAI apps. RAGStack includes the best open-source for implementing RAG, giving developers a comprehensive GenAI Stack leveraging LangChain, LLamaIndex, and more.

Production RAG apps with LangChain, LLMs and Vector Search

Join Harrison Chase, founder and CEO of LangChain and Tisson Mathew, Founder and CEO of Skypoint as they share hard-earned insights deploying production RAG apps harnessing customer data with the power of LangChain, Large Language Models (LLMs), and Vector Search.

Watch Now

Benefits

Ready-Made RAG Solution

Rapid Deployment for RAG Apps

Improve developer productivity and system performance with orchestration and prompt templates, unstructured data store abstraction, natural language to structured query abstraction, agent memory abstraction, and LLM caching abstraction.

Rapid Deployment for RAG Apps

Improved GenAI Performance

RAGStack is designed to enhance GenAI app performance with tested techniques for prompt engineering, prompt retrieval and different data types—reducing hallucinations and improving contextual relevance.

Improved GenAI Performance

Continuous Evolution with Advancements

RAGStack seamlessly updates to RAG techniques (such as ReAct) and the LangChain and LLamaIndex ecosystem to continually improve GenAI accuracy. RAGStack adds new open source software to provide enterprise users a predictable upgrade path as new techniques emerge.

Continuous Evolution with Advancements

Enterprise Governance and Compliance

RAGStack is backed with enterprise support and SLAs, supporting HIPAA, TRUSTe, SOC2 compliance when running with Astra DB.

Enterprise Governance and Compliance

Scalability and Cost-Effectiveness

Scale easily with the increase in data and usage. RAGStack is designed to improve response times, scale easily with the increase in data and user base, and lower the cost of LLMs by caching a large percentage of calls.

Scalability and Cost-Effectiveness

Resources

Get Started with RAG Now

Accelerate your use of GenAI today with RAGStack, an out of the box solution designed to simplify the implementation of retrieval-augmented generation (RAG) in AI applications.