G2

Ratin S.

Senior Network Infrastructure Engineer

Information Technology and Services

Mid-Market (51-1000 emp.)

9/23/2026

"LlamaIndex Makes Building Scalable, Context-Aware AI Agents"

4.5/5

What do you like best about LlamaIndex?

LlamaIndex helps me create AI agents for tasks ranging from simple to complex, including multi-step document agents. It connects large language models in a way that supports building context-aware AI applications. The UI is easy to understand for setup, and the workflow feels iterative, largely driven by prompts.

It also offers a flexible framework with extensive integrations to build LLM-powered agents and context-aware applications across both Python and TypeScript environments. The LLM module performs well and delivers accurate responses with good-quality results, while remaining highly scalable with efficient resource utilization.

Pricing feels very reasonable: credits are charged at around a dollar, and the free plan includes 10,000 credit points per month, which is great for beginners. Paid plans start at $50 per month, which I find pocket-friendly. With a huge community backing it, the LLM ecosystem also provides strong support and training resources. Review collected by and hosted on G2.com.

What do you dislike about LlamaIndex?

It supports many data sources, but it requires a developer with Python skills. Handling large data volumes can be resource-intensive during indexing and updates. Technical expertise is also needed to integrate it with different systems and data models. Scaling it to support many users and large datasets can be challenging. Review collected by and hosted on G2.com.

What problems is LlamaIndex solving and how is that benefiting you?

Llamaindex helps with prompting, and you can build an entire application through prompts. It supports LLM integration and provides prompt abstractions that capture common interaction patterns with LLMs. It also helps answer questions over a set of data. existence of such LLM helps our daily workflow allot, it simplifies and helps with my day-to-day work efficiently and quickly retrieving data from unstructured resources. solve complex problems with the help of agents by using underlying data. Review collected by and hosted on G2.com.