Unify Internal and External Data for AI Workflows with Glean, Astra DB, and Langflow

The article discusses leveraging data not incorporated into large language models (LLMs) by providing supplemental context when querying the data. It introduces Glean, a unified framework for indexing and searching company data, which significantly increases the potential power of retrieval-augmented generation (RAG) frameworks. The article then demonstrates how to set up a flow using the Langflow framework, which pulls data from the Glean Search API, and enables the construction of an easy-to-use RAG pipeline. It also highlights the importance of ensuring that any data accessible is safe to provide to LLM providers when using online models. The author concludes by encouraging readers to try the Glean Langflow Component for themselves and explore more ideas for modern AI applications.

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