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About

Connect your data sources, configure some data views (i.e. SQL scripts), configure a GPT Wizard, create a custom GPT, and share it with your users, employees, or clients. Expose a specific set of data (using SQL) to train GPT, and then chat with it in natural language. Data insights just got a whole lot easier, you can follow simple steps and let DataLang do the heavy lifting. Configure your connection string and give it a name. Use SQL to train GPT with your own data rows, select the data sources to train GPT with, and leverage GPT to talk to your data in real time. Create custom GPT Assistants to chat with your data. Configure a GPT to share it with your users, or customers. Your connection string credentials are securely encrypted in our system and only decrypted when necessary for data operations. We are committed to the security and confidentiality of your information. You can ask DataLang almost any question you would ask a data analyst.

About

LangChain is a powerful, composable framework designed for building, running, and managing applications powered by large language models (LLMs). It offers an array of tools for creating context-aware, reasoning applications, allowing businesses to leverage their own data and APIs to enhance functionality. LangChain’s suite includes LangGraph for orchestrating agent-driven workflows, and LangSmith for agent observability and performance management. Whether you're building prototypes or scaling full applications, LangChain offers the flexibility and tools needed to optimize the LLM lifecycle, with seamless integrations and fault-tolerant scalability.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Anyone in need of a tool to chat with their databases and create custom GPTs

Audience

Developers searching for a framework for developing applications powered by language models

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$19 per month
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • As an AI developer, I’ve worked with a wide range of frameworks and libraries, but LangChain has truly impressed me. It’s an incredibly powerful tool for building language models, providing an extensive set of functionalities that allow me to seamlessly integrate different components into my projects. One of the standout features of LangChain is its ease of use and flexibility. Whether you’re working on text generation, document search, or chain-based workflows, the framework’s modularity lets you combine various tools with minimal effort. The pros of LangChain are clear. First, its integration with numerous external APIs and services is top-notch, allowing me to connect language models with external data sources or even automate workflows. The documentation is well-organized and easy to follow, even for newcomers, and the active community provides plenty of resources for troubleshooting and learning. Additionally, LangChain's support for advanced use cases like memory management, multi-step chains, and prompt customization is invaluable for developing sophisticated AI applications.

Cons

  • The learning curve is steep, but once you get the hang of it, the framework becomes significantly more intuitive. Also, while LangChain offers a lot of versatility, it sometimes requires more fine-tuning to get optimal performance with specific models or use cases.

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

DataLang
United States
datalang.io

Company Information

LangChain
Founded: 2022
United States
www.langchain.com

Alternatives

Alternatives

LM-Kit.NET

LM-Kit.NET

LM-Kit
LangGraph

LangGraph

LangChain
LangSmith

LangSmith

LangChain
bipp

bipp

bipp analytics

Categories

AI Tools Supported
Database Supported

Categories

Integrations

AI-Q NVIDIA Blueprint Not Supported
Arcade Not Supported
Arize AI Not Supported
Azure App Service Not Supported
Barndoor.ai Not Supported
Boilerbay Not Supported
Dendrite Not Supported
Fluents.ai Not Supported
GPT-3 Supported
GPT-4 Supported
JetStream Security Not Supported
Liona Not Supported
Lucidic AI Not Supported
NVIDIA NIM Not Supported
Pillar Security Not Supported
Proxmint Not Supported
PyMuPDF Not Supported
Qualcomm AI Inference Suite Not Supported
Sourcey Not Supported
asqav Not Supported

Integrations

AI-Q NVIDIA Blueprint Supported
Arcade Supported
Arize AI Supported
Azure App Service Supported
Barndoor.ai Supported
Boilerbay Supported
Dendrite Supported
Fluents.ai Supported
GPT-3 Not Supported
GPT-4 Not Supported
JetStream Security Supported
Liona Supported
Lucidic AI Supported
NVIDIA NIM Supported
Pillar Security Supported
Proxmint Supported
PyMuPDF Supported
Qualcomm AI Inference Suite Supported
Sourcey Supported
asqav Supported
Claim DataLang and update features and information
Claim DataLang and update features and information
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Claim LangChain and update features and information