Solutions on Linode Guides & Tutorials

Deploy a RAG-Powered Chatbot with LangChain on an Akamai Compute Instance

Fri, 05 Dec 2025 00:00:00 +0000

This guide walks you through deploying a large language model chatbot that uses retrieval-augmented generation (RAG) to retrieve relevant information from a set of documents that’s specific to your chatbot before generating responses. Using RAG ensures accurately generated answers that are grounded in your content.

Deploy a RAG-Powered Chatbot with LangChain on LKE

Fri, 05 Dec 2025 00:00:00 +0000

This guide demonstrates deploying a Python-based RAG chatbot to Linode Kubernetes Engine. The chatbot uses retrieval-augmented generation to ground its responses in your documents, LangChain to build the RAG pipeline and query the LLM, LangGraph to maintain conversation history in PostgreSQL, and FastAPI to expose a REST API for chat interactions. This architecture separates application logic from state storage, making it well-suited for containerized deployments.

Using LangChain and LangGraph to Build a RAG-Powered Chatbot

Fri, 05 Dec 2025 00:00:00 +0000

Large language models have extensive general knowledge but can’t access your organization’s proprietary documents, internal policies, or specialized domain content. Retrieval-augmented generation (RAG) solves this by retrieving relevant information from your documents and including it in prompts to the LLM.

High-Performance KV Store for Fintech with Akamai

Tue, 13 Aug 2024 00:00:00 +0000

Fintech and eCommerce services process high volumes of transactions and have demanding requirements for performance, reliability, and resiliency. The data storage size for a given transaction in these services may not be as large as in other industries like media or gaming, but they must adhere to rigorous standards for security, latency, and consistency.

Improving Page Performance with Early Hints and HarperDB

Tue, 13 Aug 2024 00:00:00 +0000

For eCommerce websites, poor page performance can increase abandonment of transactions. Caching with content delivery networks has historically been used to reduce page loading times. But even with a robust caching implementation, consumers can still experience wait times when visiting these websites from mobile networks.

Complete Observability for Live Stream Events With TrafficPeak

Wed, 31 Jul 2024 00:00:00 +0000

Live streaming events require complete observability in order to deliver a seamless user experience during periods of extreme traffic. Supporting large amounts of concurrent viewers depends on live application and infrastructure insights so that you can troubleshoot issues in real-time.

Preparing Infrastructure for High-Impact Advertising Traffic on Akamai

Wed, 10 Jul 2024 00:00:00 +0000

Companies looking to attract large amounts of new customers will often employ high-impact advertising campaigns to increase sales in a limited timeframe. Since these campaigns are meant to maximize interest over short amounts of time, they can lead to huge influxes in traffic to their normal web applications. This comes with a host of implementation challenges, including infrastructure stability, data visibility, platform security, and consistent, equitable end user experiences.

IoT Firmware Upgrades with Object Storage and Akamai CDN

Mon, 08 Jul 2024 00:00:00 +0000

Overview

As more and more consumer electronics join the Internet of Things (IoT), the need to deliver feature and security firmware updates to these devices becomes more critical for IoT device manufacturers. One of the main aspects of delivery manufacturers need to plan for is how much egress data these systems will use. At scale, the price of keeping both consumers and the business happy and secure can be enormous. Using Linode Object Storage on Akamai Cloud as an origin for this data, and connecting that service to Akamai CDN, can provide a huge cost savings over other competing hyperscalers.

Large Data Observability With DataStream and TrafficPeak

Tue, 11 Jun 2024 00:00:00 +0000

Overview

Observability workflows are critical to gaining meaningful insight to your application’s health, customer traffic, and overall performance. However, there are challenges that come along with achieving true observability, including large volumes of traffic data, data retention, time to implementation, and the cost of each.

Live Transcoding for UGC Streaming on Akamai Cloud Computing

Tue, 11 Jun 2024 00:00:00 +0000

Live streaming is a key feature of many popular internet services, including social networking, video conferencing, gaming, and sports broadcasting. These services rely on live transcoding of video streams to efficiently distribute content in formats that are suited to the network and device constraints where they are viewed. Video transcoding is a compute-intensive process, so maximizing the number of video streams that can be transcoded on available hardware is a primary consideration.

Ad-Tech on Akamai: Distributed Demand-Side Platform

Tue, 07 May 2024 00:00:00 +0000

Advertisers (and ad agencies) utilize demand-side platforms (DSPs) to engage in programmatic ad-buying. DSPs enable advertisers to configure their ad campaigns and place bids for ad inventory (ad space on a publisher’s website). As the volume of bids from advertisers and ad inventory from publishers increases, so does the complexity for processing bids and matching them to the available inventory.

VOD Transcoding for OTT Media with Akamai Cloud Computing

Mon, 06 May 2024 00:00:00 +0000

Video on demand (VOD) streaming services rely on the transcoding of video streams to efficiently distribute content. In transcoding workflows, video is converted to formats that are suited to the network and device constraints where they are viewed. Video transcoding is a compute-intensive process, so maximizing the number of video streams that can be transcoded on available hardware is a primary consideration. Transcoding efficiency can vary between the compute offerings of different infrastructure providers, and evaluations of transcoding performance should be performed when selecting a cloud infrastructure platform.

Using DataStream With Multiplexing for Observability

Wed, 01 May 2024 00:00:00 +0000

Having real-time visibility into log data can help determine how applications are managed and infrastructure is scaled. Obtaining logs from numerous sources (CDN, security, server-side, and more) is pivotal to identifying and resolving end-user issues. However, this can result in a complex infrastructure setup with varying levels of visibility needs and high egress costs due to large volumes of data.