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LlamaIndex

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4.4 out of 5 stars
45 reviews
  • 2 profiles
  • 2 categories
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4.4
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LlamaIndex Reviews

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Verified User in Philanthropy
UP
Verified User in Philanthropy
09/12/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Easy Workflow and Accurate Table Extraction Across Many File Formats

|LlamaIndex
It supports many file formats, including Keynote, and it makes it easy to extract tables while keeping the formatting intact. The image and document metadata is useful when parsing files that contain charts and graphs, and the workflow is easy to set up.
Verified User in Civic & Social Organization
UC
Verified User in Civic & Social Organization
09/10/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Simple Interface with Accurate Formatting and Table Extraction

|LlamaIndex
The interface is simple, and it handles multiple file types that we use. The extracted text keeps the same formatting as the original documents, and tables are parsed in a way that preserves the structure, even for long tables.
JE
James E.
Flexible RAG Framework for Software Engineering Teams
09/08/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

LlamaIndex Made My RAG Development Faster and More Flexible

|LlamaIndex
LlamaIndex has helped me connect an LLM application to internal documents without writing every part of the ingestion and retrieval pipeline myself. I was able to load documents, split them into manageable sections, generate embeddings, index the content, and retrieve relevant information when users submitted questions. What has been most useful is the ability to experiment with the retrieval process. I adjusted chunk sizes, metadata filters, retrievers, and prompts while keeping the rest of the application mostly unchanged.

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San Francisco, California, United States

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What is LlamaIndex?

LlamaIndex is a technology vendor specializing in tools and solutions for building and managing data applications. The company focuses on enhancing the accessibility and usability of large language models by providing a framework that allows users to connect their data sources with these models. LlamaIndex aims to simplify the integration of structured and unstructured data, enabling developers and businesses to create more effective and intelligent applications.

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