SnapLogic Technical Blog
Technical insights from SnapLogic's subject matter experts
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Welcome to our Technical Blog
In this blog, SnapLogic experts provide deeper insights into how things work and offer tips to make the most of your SnapLogic experience.

Blog Articles

Introducing Tool Calling Snaps and LLM Agent Pipelines

Introduction In this article, we will be introducing the following. Part 1: Four new classes of snaps for LLM function calling: Function Generator, Tool Calling, Function Result Generator, and Messag...

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What is Retrieval-Augmented Generation (RAG)?

What is Retrieval-Augmented Generation (RAG)? Retrieval-Augmented Generation (RAG) is the process of enhancing the reference data used by language models (LLMs) through integrating them with tradition...

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LLM response logging for analytics

Why do we need LLM Observability? GenAI applications are great, they answer like how a human does. But how do you know if GPT isn’t being “too creative” to you when results from the LLM shows “Company...

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Embeddings and Vector Databases

What are embeddings Embeddings are numerical representations of real-world objects, like text, images or audio. They are generated by machine learning models as vectors, an array of numbers, where the...

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