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Llamaindex
Overview :
LlamaIndex is a simple and flexible data framework for connecting custom data sources to large language models. It provides key tools for enhancing your LLM applications' data capabilities, including data ingestion, data indexing, and a querying interface. It empowers you to easily build powerful end-user applications such as document question answering, data-augmented chatbots, knowledge agents, and structured analysis. Supports connections to unstructured, structured, or semi-structured data sources.
Target Users :
Suitable for scenarios requiring connections between custom data sources and large language models, such as document question answering, data augmentation for chatbots, knowledge agents, and structured analysis.
Use Cases
Use LlamaIndex to connect to a company's internal document repository and build a document question answering system to improve work efficiency.
Use LlamaIndex to connect to customer data and build a data-augmented chatbot to enhance customer service quality.
Use LlamaIndex to connect to a knowledge base and build a knowledge agent to improve decision-making efficiency.
Features
Data Ingestion
Data Indexing
Query Interface
Document Question Answering
Data Augmentation for Chatbots
Knowledge Agent
Structured Analysis
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