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What is LangSmith?

In software development, unforeseen results frequently arise, and having complete visibility into the entire call sequence allows developers to accurately identify the sources of errors and anomalies in real-time. By leveraging unit testing, software engineering plays a crucial role in delivering efficient solutions that are ready for production. Tailored specifically for large language model (LLM) applications, LangSmith provides similar functionalities, allowing users to swiftly create test datasets, run their applications, and assess the outcomes without leaving the platform. This tool is designed to deliver vital observability for critical applications with minimal coding requirements. LangSmith aims to empower developers by simplifying the complexities associated with LLMs, and our mission extends beyond merely providing tools; we strive to foster dependable best practices for developers. As you build and deploy LLM applications, you can rely on comprehensive usage statistics that encompass feedback collection, trace filtering, performance measurement, dataset curation, chain efficiency comparisons, AI-assisted evaluations, and adherence to industry-leading practices, all aimed at refining your development workflow. This all-encompassing strategy ensures that developers are fully prepared to tackle the challenges presented by LLM integrations while continuously improving their processes. With LangSmith, you can enhance your development experience and achieve greater success in your projects.

What is DataLang?

Connect your data sources and create data views through SQL scripts, then set up a GPT Wizard, design a custom GPT, and share it with your users, employees, or clients. By selectively exposing a specific range of data through SQL, you can effectively train GPT to interact with you using everyday language. The process for extracting data insights has become remarkably effortless; with simple steps, DataLang takes on the intricate tasks for you. Begin by establishing your connection string and assigning it a distinct name. Use SQL to train GPT with your unique data entries, select relevant data sources to enhance its training, and engage with your information in real-time via GPT. Develop personalized GPT Assistants to streamline discussions about your data. Moreover, you can configure a GPT for smooth sharing with your users or customers. Your connection string credentials are securely stored and decrypted only when required for data operations, underscoring our dedication to protecting your information. You can ask DataLang almost any question a data analyst could answer, transforming it into an essential resource for data-driven queries and decisions. Experience a new level of engagement with your data and uncover insights effortlessly, all while fostering a more intuitive interaction with your information.

Media

Media

Integrations Supported

AgentForge
Azure Marketplace
Disco.dev
LangChain
LangGraph
Noma
TierZero
Voker
ZenML

Integrations Supported

GPT-3
GPT-4
SQL

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$19 per month

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

LangChain

Company Location

United States

Company Website

www.langchain.com/langsmith

Company Facts

Organization Name

DataLang

Company Location

United States

Company Website

datalang.io

Categories and Features

AI Development

Not specified

Context Engineering

Not specified

Debugging

Not specified

Software Testing

Not specified

Categories and Features

AI Tools

Not specified

Database

Not specified

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