Generate & Ship UI with minimal effort - Open Source Generative UI with natural language
-
Updated
Nov 23, 2024 - TypeScript
#
rag-pipeline
Here are 13 public repositories matching this topic...
Build a RAG preprocessing pipeline
pdf ocr haystack pdf-to-text document-parser pdf-ocr-extraction pdf-to-json table-recognition table-detection llm langchain llamaindex retrieval-augmented-generation rag-pipeline
-
Updated
Apr 7, 2024 - Jupyter Notebook
RAG-nificent is a state-of-the-art framework leveraging Retrieval-Augmented Generation (RAG) to provide instant answers and references from a curated directory of PDFs containing information on any given topic. Supports Llama3.1 and OpenAI Models via the Groq API.
gemma pinecone rag groq vector-database chatgpt langchain chainlit mistralai mistral-7b rag-implementation groqapi rag-pipeline llama3 llama3-rag
-
Updated
Jul 23, 2024 - Python
Search for a holiday and get destination advice from an LLM. Observability by Dynatrace.
demo openai dynatrace pinecone ai-observability llm genai ollama rag-pipeline application-observability
-
Updated
Nov 29, 2024 - HTML
This repo is for advanced RAG systems, each branch will represent a project based on RAG.
redis redis-cache chat-application cohere faiss rag groq llms generative-ai langchain chromadb chat-with-pdf cohere-api rag-implementation faiss-vector-database groq-api rag-pipeline advanced-rag
-
Updated
Oct 15, 2024 - Python
Demo LLM (RAG pipeline) web app running locally using docker-compose. LLM and embedding models are consumed as services from OpenAI.
-
Updated
May 3, 2024 - Python
AI-driven prompt generation and evaluation system, designed to optimize the use of Language Models (LLMs) in various industries. The project consists of both frontend and backend components, facilitating prompt generation, automatic evaluation data generation, and prompt testing.
-
Updated
Aug 15, 2024 - Python
Learn Retrieval-Augmented Generation (RAG) from Scratch using LLMs from Hugging Face and Langchain or Python
artificial-intelligence rag datascience-machinelearning generative-ai llm-training retrieval-augmented-generation rag-model llm-framework llm-apps llm-evaluation genai-usecase rag-implementation rag-evaluation rag-embeddings rag-pipeline rag-llm rag-chatbot rag-application genai-domain
-
Updated
Nov 29, 2024 - Jupyter Notebook
This is a production-ready applications using RAG-based Language Model.
-
Updated
Mar 19, 2024
Using MLflow to track a RAG pipeline, using LLamaIndex and Ollama/HuggingfaceLLMs
evaluation-metrics mrr rag mlops mlflow mlflow-tracking-server mlflow-tracking mlflow-projects hit-rate mlflow-ui mlops-template llamaindex rag-evaluation rag-pipeline llamaindex-rag
-
Updated
Dec 9, 2024 - Jupyter Notebook
Hybrid Search RAG Pipeline integrating BM25 and vector search techniques using LangChain
-
Updated
Aug 26, 2024 - Jupyter Notebook
A GenAI based search system that scans numerous fashion product descriptions to recommend suitable options based on user queries.
-
Updated
Sep 27, 2024 - Jupyter Notebook
This project implements document ingestion, embedding generation, and retrieval-augmented generation (RAG). If you are looking for a small project to understand the implementation of basic RAG then this project is good to go.
console-application retrieval-chatbot rag vector-database chromadb retrieval-augmented-generation rag-pipeline
-
Updated
Oct 27, 2024 - Python
Improve this page
Add a description, image, and links to the rag-pipeline topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the rag-pipeline topic, visit your repo's landing page and select "manage topics."