Haystack is an open-source framework for building retrieval-augmented generation pipelines (RAG) and advanced search systems. Sandgarden is a modularized platform that enables product-driven businesses to rapidly prototype, iterate, and deploy their AI integrations.
Let's compare Haystack with Sandgarden, and see which option may work better for your business.
Haystack is able to manage large datasets and deliver fast, accurate search results. Common use cases include semantic search, question answering, and RAG. It supports various search backends and offers tools for indexing, querying, and retrieving data.
At its core, Haystack’s focus is on efficiency and scalability. It’s designed to handle volume in both datasets and queries while providing quick response times. It continually evolves through contributions from an active OSS community, and is supplemented by a range of tutorials and example projects.
That said, Haystack is not without its drawbacks:
Sandgarden provides production-ready infrastructure by automatically crafting the pipeline of tools and processes needed to experiment with AI. This helps businesses move from test to production without figuring out how to deploy, monitor, and scale the stack.
With Sandgarden you get an enterprise AI runtime engine that lets you stand up a test, refine and iterate, all in support of determining how to accelerate your business processes quickly. Time to value is their ethos and as such the platform is freely available to try without going through a sales process.
In contrast to Haystack’s focus on RAG and search, Sandgarden gives teams the flexibility to build innovative solutions for infinite use cases. Whereas Haystack restricts users to Python, Sandgarden supports multiple programming languages (Ruby, Javascript, etc). And while it can be difficult to navigate Haystack's docs, Sandgarden organizes information around the most germane information requested by users.
Both Sandgarden and Haystack help businesses integrate AI into their applications. Sandgarden specializes in modularized and rapid prototyping in an “already production-ready” way. The elimination of infrastructure overhead helps teams focus on innovation rather than technical complexities. Plus, flexibility in both use cases and programming languages make it accessible to a wider audience.
Haystack stands out as a platform for building advanced search and retrieval pipelines which helps companies more effectively make use of their data. However, this specialization limits the breadth of solutions that AI can leverage.
For any enterprise looking to solve a wide array of business problems, Sandgarden stands out for its ability to simplify and accelerate AI integration. With Sandgarden you can get back to doing what you do best - running your business - as opposed to being in the AI business.
To learn more about Sandgarden, visit sandgarden.com.
