Search Results for "google framework"

LangChainGo is a Go-based implementation of the LangChain framework, designed to help developers build applications powered by large language models using the Go programming language. It provides a modular architecture that allows developers to combine components such as language models, chains, agents, memory systems, and vector stores into flexible workflows. The framework emphasizes composability, making it easy to create complex pipelines that integrate LLMs with external data sources, APIs, and tools. ...

Colly provides a clean interface to write any kind of crawler/scraper/spider. With Colly you can easily extract structured data from websites, which can be used for a wide range of applications, like data mining, data processing or archiving. Clean API. Fast (>1k request/sec on a single core) Manages request delays and maximum concurrency per domain. Automatic cookie and session handling. Sync/async/parallel scraping. Distributed scraping. Caching, automatic encoding of non-unicode...

Meet the easiest way to generate SLOs for Prometheus. Sloth generates understandable, uniform, and reliable Prometheus SLOs for any kind of service. Using a simple SLO spec that results in multiple metrics and multi-window multi-burn alerts. Easy and simple Prometheus SLO (service level objectives) generator.

Agent Executor (AX) is a Google research project for learning discrete choice models through differentiable maximum likelihood estimation. It is designed for situations where a model needs to predict choices from a finite set of alternatives, such as ranking, recommendation, preference modeling, or decision behavior analysis. The project provides JAX-based tools for defining and training choice models with automatic differentiation.