llama_index and llama-index-vector-search-javascript
LlamaIndex is the core RAG framework, while the Azure sample is a reference implementation demonstrating how to deploy LlamaIndex with Azure-specific services for vector search and LLM inference—making them complements designed to be used together.
About llama_index
run-llama/llama_index
LlamaIndex is the leading document agent and OCR platform
This platform helps businesses unlock insights from diverse documents like PDFs, scanned images, and more. It takes unstructured document data and transforms it into structured information that can be easily searched, analyzed, or used to power AI applications. Knowledge workers, data analysts, or operations managers dealing with large volumes of documents would find this useful.
About llama-index-vector-search-javascript
Azure-Samples/llama-index-vector-search-javascript
A sample app for the Retrieval-Augmented Generation pattern using LlamaIndex.ts, running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences using your own data.
This solution helps technical teams build custom AI chat experiences to interact with their own documents. You provide your specialized business data, and it creates a ChatGPT-like application that allows users to ask questions and get answers directly from that data. The intended users are developers or technical professionals responsible for implementing internal knowledge bases or customer service bots based on proprietary information.
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