ChristianDoctrine.ai

Full-stack Web Developer - Kytzo. • Working on a Full-Stack NextJS app with TypeScript. • Using LangChain to handle large quantity of texts (txt,pdf,word..) and generate LLM's models. • Using ChromaDB as a database to store embeded documents. • Implemented GPT-4 to use the generated models and provide context to the user concerning one or multiple text files. • Using RAG to get better results with LangChain.

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Project Details

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Project Goals: Develop a Full-Stack NextJS app with advanced text processing and LLM generation capabilities.
Challenges Faced: Handling large quantities of text files and integrating multiple AI and database technologies.
Solutions Implemented: Used LangChain for text handling, ChromaDB for document storage, GPT-4 for context generation, and RAG for improved results.
Technologies Used: Next.js, TypeScript, LangChain, ChromaDB, GPT-4, RAG
Start Date: 12/1/2023
End Date: 1/31/2024

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