RAGStack
Simplify RAG App Development
RAGStack is the integrated RAG development solution. RAGStack’s out-of-the-box solution includes the best open-source tools for implementing RAG, giving developers a comprehensive GenAI Stack leveraging Langflow, 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.
Benefits
Ready-Made RAG Solution
Iterate and Experiment Faster
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.
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.
Continuous Evolution, Seamless Updates
RAGStack is continually updated to include the latest RAG techniques (such as GraphRAG), to improve GenAI relevancy. RAGStack adds new open-source software to provide enterprise users a predictable upgrade path as new techniques emerge.
Cutting-Edge Advancements, Robust Search Capabilities
RAGStack supports searching across all data types with faster, more accurate results. Improve search with Knowledge Graphs and implement hybrid searches with ColBERT.
Enterprise Governance and Compliance with Support
Develop with confidence! RAGStack is backed with enterprise support. RAGStack running with Astra DB meets HIPAA, TRUSTe, SOC2 compliance requirements.
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.
DEVELOPERS
Simplify and Accelerate RAG App Development
Langflow’s visual IDE gives 'drag and drop' access to prebuilt RAG components and flows. Build, iterate, and deploy AI applications with ease.
Reduce Complexity with Langflow
Adding Langflow into RAGStack allows any GenAI app builder to design RAG applications, switch between embedding modes, LLMs, retrievers, etc. easily and test with real data without the need to write code or learn the ins and outs of new frameworks.