Build an AI Knowledge Base App with React Native, Strapi & Python
Blog post from Strapi
A comprehensive guide explains how to create a Knowledge Base using React Native and Strapi 5, integrating advanced search functionality with AI through LangChain. The tutorial outlines setting up a Strapi 5 backend to manage article content and API endpoints, building a React Native frontend for displaying and interacting with these articles, and employing Python with LangChain for implementing a sophisticated search feature using Facebook AI Similarity Search (FAISS) as a vector store. It details the creation of key components and screens in the React Native app, as well as coding a Python backend to facilitate AI-powered queries. The guide emphasizes the seamless integration of Strapi with other technologies to create a dynamic and interactive application, and it provides source code links for further exploration.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 6 | 4,013 | 569 | 191 | -13% |
| RAG | 6 | 1,528 | 261 | 92 | -30% |
| Vector Search | 1 | 1,947 | 300 | 116 | -32% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.