pathwaycom/llm-app
Ready-to-run cloud templates for building real-time RAG, AI pipelines, and enterprise search applications that synchronize with various live data sources.
Awesome Infra for AI › Vector Databases & Retrieval Infrastructure
llm-tools/embedJs
EmbedJs is an open-source framework designed to simplify the development of Retrieval-Augmented Generation (RAG) and Large Language Model (LLM) applications in Node.js. Its core functionality revolves around personalizing LLM responses by leveraging custom data. The framework facilitates the process of breaking down data into manageable chunks, generating relevant embeddings from this data, and then storing these embeddings in a vector database. This architecture enables efficient retrieval of contextual information, allowing users to build applications that can provide precise answers, engage in interactive chat conversations, or generate responses tailored to their specific datasets. It supports various LLMs and vector databases, offering a flexible toolkit for developers to create sophisticated RAG solutions. EmbedJs focuses on the operational aspects of RAG, providing the infrastructure and tooling necessary to serve and retrieve information effectively in real-time, making it suitable for production environments where custom data is essential for LLM performance.
https://github.com/llm-tools/embedJs
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