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What is Langtrace?

Langtrace serves as a comprehensive open-source observability tool aimed at collecting and analyzing traces and metrics to improve the performance of your LLM applications. With a strong emphasis on security, it boasts a cloud platform that holds SOC 2 Type II certification, guaranteeing that your data is safeguarded effectively. This versatile tool is designed to work seamlessly with a range of widely used LLMs, frameworks, and vector databases. Moreover, Langtrace supports self-hosting options and follows the OpenTelemetry standard, enabling you to use traces across any observability platforms you choose, thus preventing vendor lock-in. Achieve thorough visibility and valuable insights into your entire ML pipeline, regardless of whether you are utilizing a RAG or a finely tuned model, as it adeptly captures traces and logs from various frameworks, vector databases, and LLM interactions. By generating annotated golden datasets through recorded LLM interactions, you can continuously test and refine your AI applications. Langtrace is also equipped with heuristic, statistical, and model-based evaluations to streamline this enhancement journey, ensuring that your systems keep pace with cutting-edge technological developments. Ultimately, the robust capabilities of Langtrace empower developers to sustain high levels of performance and dependability within their machine learning initiatives, fostering innovation and improvement in their projects.

What is Akamai IoT Edge Connect?

IoT Edge Connect enables swift communication and data management for devices associated with Akamai. It employs both the message queuing telemetry transport (MQTT) and HTTP protocols to effectively gather incoming messages. This innovative system processes and transmits data to devices in real-time by utilizing a publish-subscribe architecture. The MQTT protocol allows for the reading and writing of data within message queues, while the HTTP interface serves as a gateway for accessing these queues. Through the HTTP interface, clients are able to obtain messages categorized by topics according to their REST API requests, facilitating a smooth interaction and data exchange. Consequently, IoT Edge Connect stands out as a flexible and efficient solution for overseeing device communication and data processing, making it an essential tool for modern IoT applications. Its architecture ensures that users can maintain a continuous flow of information across various connected devices.

Media

Media

Integrations Supported

Chroma
Cohere
Elastic Cloud
Gemini
Gemini 1.5 Flash
Gemini 2.0
Gemini 2.0 Flash
Gemini Advanced
Gemini Nano
Groq
Honeycomb
LangChain
LlamaIndex
Microsoft Azure
OpenAI
OpenTelemetry
Perplexity
Pinecone
SigNoz
pgvector

Integrations Supported

Chroma
Cohere
Elastic Cloud
Gemini
Gemini 1.5 Flash
Gemini 2.0
Gemini 2.0 Flash
Gemini Advanced
Gemini Nano
Groq
Honeycomb
LangChain
LlamaIndex
Microsoft Azure
OpenAI
OpenTelemetry
Perplexity
Pinecone
SigNoz
pgvector

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Langtrace

Company Website

www.langtrace.ai/

Company Facts

Organization Name

Akamai

Date Founded

1998

Company Location

United States

Company Website

learn.akamai.com/en-us/products/web_performance/iot_edge_connect.html

Categories and Features

Categories and Features

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