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Feature Story
GitHub - aryn-ai/sycamore: 🍁 Sycamore is an LLM-powered semantic data preparation system for building search applications.
Sep 30, 2023 · github.comThe system is built on Ray, a distributed compute framework that can scale to hundreds of nodes. It also provides resources such as PyPi, Documentation, Slack, and Aryn Docs for setting up an end-to-end conversational search application with Sycamore and OpenSearch. Sycamore currently runs on Python 3.9+ for Linux and Mac OS. The platform also encourages contributions and provides a guide for setting up the environment for development.
Key takeaways
- Sycamore is a semantic data preparation system that simplifies the transformation and enrichment of unstructured data for search applications.
- It supports a variety of unstructured document formats, has LLM-enabled entity extraction, and built-in data structures and transforms for processing large document collections.
- Sycamore is built on Ray, a distributed compute framework that can scale to hundreds of nodes, allowing processing workloads to scale from a laptop to the cloud without changing application code.
- It provides a simple script to read a collection of PDFs, partition them, compute vector embeddings, and load them into a local OpenSearch cluster.