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Description
Link your data sources and set up data views using SQL scripts, then configure a GPT Wizard, develop a custom GPT, and distribute it among your users, employees, or clients. By exposing a targeted range of data through SQL, you can train GPT and engage with it in everyday language. The process of deriving data insights has never been simpler; with straightforward steps, DataLang manages the complex tasks for you. Start by configuring your connection string and assign it a unique name. Utilize SQL to train GPT with your specific data entries, choose the data sources to enhance GPT's training, and interact with your data in real-time through GPT. Create tailored GPT Assistants to facilitate conversations about your data. Additionally, you can configure a GPT for sharing with your users or customers seamlessly. Rest assured, your connection string credentials are securely stored and only decrypted when necessary for data tasks, reflecting our commitment to safeguarding your information. You can pose nearly any question to DataLang that you would typically ask a data analyst, making it an invaluable tool for data-driven inquiries and decisions. Engage with your data like never before and unlock insights with ease.
Description
Unexpected outcomes are a common occurrence in software development. With complete insight into the entire sequence of calls, developers can pinpoint the origins of errors and unexpected results in real time with remarkable accuracy. The discipline of software engineering heavily depends on unit testing to create efficient and production-ready software solutions. LangSmith offers similar capabilities tailored specifically for LLM applications. You can quickly generate test datasets, execute your applications on them, and analyze the results without leaving the LangSmith platform. This tool provides essential observability for mission-critical applications with minimal coding effort. LangSmith is crafted to empower developers in navigating the complexities and leveraging the potential of LLMs. We aim to do more than just create tools; we are dedicated to establishing reliable best practices for developers. You can confidently build and deploy LLM applications, backed by comprehensive application usage statistics. This includes gathering feedback, filtering traces, measuring costs and performance, curating datasets, comparing chain efficiencies, utilizing AI-assisted evaluations, and embracing industry-leading practices to enhance your development process. This holistic approach ensures that developers are well-equipped to handle the challenges of LLM integrations.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AgentForge
No
Azure Marketplace
No
Disco.dev
No
GPT-3
Yes
GPT-4
Yes
LangChain
No
LangGraph
No
Noma
No
SQL
Yes
TierZero
No
Integrations
AgentForge
Yes
Azure Marketplace
Yes
Disco.dev
Yes
GPT-3
No
GPT-4
No
LangChain
Yes
LangGraph
Yes
Noma
Yes
SQL
No
TierZero
Yes
Pricing Details
$19 per month
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
DataLang
Country
United States
Website
datalang.io
Vendor Details
Company Name
LangChain
Country
United States
Website
www.langchain.com/langsmith
Product Features
Product Features
Software Testing
Automated Testing
No
Black-Box Testing
No
Dynamic Testing
No
Issue Tracking
No
Manual Testing
No
Quality Assurance Planning
No
Reporting / Analytics
No
Static Testing
No
Test Case Management
No
Variable Testing Methods
No
White-Box Testing
No
