Simple application to record the RAG status of projects over time
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Updated
Jan 24, 2023 - JavaScript
Simple application to record the RAG status of projects over time
This project aims to extract and analyze chess-related wisdom from multiple sources. It focuses on answering questions like "What is the best way to learn chess?" based on advice from the legendary José Raúl Capablanca and popular chess resources like the Say Chess Substack.
Using USearch vector-search engine for RAG with LangChain
Ummi is our maternity assistant - one stop for answers , generate bed time stories from keywords in 3 languages and finds lulaby anytime
Build your own ChatBot that learns from your internal data - LLM OpenAI ,RAG, Prompt Engineering, Embeddings, Pinecone and FAISS
This is a very simplified version of Benchmarking Large Language Models in Retrieval-Augmented Generation by Chen et al 2023
For the purposes of familiarization and learning. Consists of utilizing LangChain framework, LangSmith for tracing, OpenAI LLM models, Pinecone serverless vectorDB using Jupyter Notebook and Python.
Comprehensive LLMs repo, where I cover both theoretical and practical aspects of LLMs.
Query the ML Engineering Open Book using RAG
DSPy: 面向未来的自优化 Agents 框架,下一代 LangChain,中文爱好者社区
GCP appEngine deployment code of a airport complaint raising bot by collecting required datas from users
This repo houses experimental projects inspired by insights from the course 'Building and Evaluating Advanced RAG Applications' offered by DeepLearning.AI
fetches data in JSON & allow chatting with website
A implementation of a simple RAG application using a vector database (Chroma DB) backed LLM Inference using LangChain to create a simple QnA inference.
A local rag demo
Fintuning GPT and LLM models
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