Sold by: pCloudHosting LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. LlamaIndex is a powerful data framework for building applications with Large Language Models (LLMs). It enables developers to connect, index, retrieve, and orchestrate data from diverse sources, making it easier to create intelligent AI assistants, chatbots, search systems, and Retrieval-Augmented Generation (RAG) applications.
Overview
LlamaIndex is a comprehensive framework designed to bridge Large Language Models (LLMs) with enterprise and private data sources. It provides developers with tools to ingest, structure, index, and retrieve information from documents, databases, APIs, cloud storage platforms, and other data repositories.
The platform simplifies the development of Retrieval-Augmented Generation (RAG) applications by offering advanced indexing techniques, vector store integrations, query engines, agents, workflows, and data connectors. Developers can leverage LlamaIndex to build AI-powered chatbots, knowledge management systems, semantic search solutions, document intelligence platforms, and autonomous AI agents.
With support for popular LLM providers, vector databases, and cloud ecosystems, LlamaIndex enables organizations to create scalable and production-ready AI applications that deliver accurate, context-aware responses using proprietary business data. Its flexible architecture and extensive ecosystem make it a preferred choice for developers seeking to build sophisticated AI solutions on top of custom data.
Highlights
- Connects LLMs to enterprise data sources with powerful indexing, retrieval, and query capabilities.
- Supports numerous data connectors, vector databases, LLM providers, and workflow orchestration tools for building production-ready AI applications.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
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If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.03 |
t2.micro | $0.01 |
t3.micro | $0.03 |
t3.small | $0.03 |
c4.large | $0.03 |
c5.large | $0.03 |
m3.medium | $0.03 |
c3.large | $0.03 |
m3.large | $0.03 |
t2.xlarge | $0.03 |
Vendor refund policy
No Refund
Legal
Vendor terms and conditions
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Content disclaimer
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Packaged with latest updates as of June/2026
Additional details
Usage instructions
Usage Instruction Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #cd ~/llamaindex #source venv/bin/activate #pip show llama-index
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Email: anant.shahi@pcloudhostings.com Website:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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