Generate & Ship UI with minimal effort - Open Source Generative UI with natural language
-
Updated
Apr 30, 2025 - TypeScript
#
rag-pipeline
Here are 33 public repositories matching this topic...
Quickest way to production grade RAG UI.
-
Updated
Apr 30, 2025 - TypeScript
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
Production-ready Chainlit RAG application with Pinecone pipeline offering all Groq and OpenAI Models, to chat with your documents.
gemma pinecone rag groq vector-database chatgpt langchain chainlit mistralai mistral-7b rag-implementation groqapi rag-pipeline llama3 llama3-rag
-
Updated
Mar 7, 2025 - 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 obslab application-observability
-
Updated
Feb 13, 2025 - HTML
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
Jan 20, 2025 - Jupyter Notebook
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
RAG enhances LLMs by retrieving relevant external knowledge before generating responses, improving accuracy and reducing hallucinations.
knowledge-graph embedding-models semantic-search document-retrieval text-embedding faiss vector-search ai-chatbot prompt-engineering chromadb retrieval-augmented-generation rag-pipeline langchain-rag llm-applications multi-modal-rag custom-llm llm-retrieval knowledge-augmented-llm retrieval-qa huggingface-rag
-
Updated
Feb 14, 2025 - Jupyter Notebook
Powerful framework for building applications with Large Language Models (LLMs), enabling seamless integration with memory, agents, and external data sources.
knowledge-graph semantic-search text-embedding document-processing faiss vector-search huggingface ai-chatbot large-language-models prompt-engineering generative-ai langchain chromadb retrieval-augmented-generation llm-agents multi-modal-ai rag-pipeline llm-applications custom-llm fine-tuning-llms
-
Updated
Feb 13, 2025 - Jupyter Notebook
Using MLflow to deploy your RAG pipeline, using LLamaIndex, Langchain and Ollama/HuggingfaceLLMs/Groq
deployment cicd evaluation-metrics rag mlops mlflow mlflow-tracking-server mlflow-tracking mlflow-projects mlflow-ui mlops-template mlops-project llamaindex rag-evaluation rag-pipeline llamaindex-rag mlflow-deployement
-
Updated
Jan 20, 2025 - Python
Git Your Code implements a cutting-edge Retrieval-Augmented Generation (RAG) architecture designed for deep semantic analysis of GitHub repositories. The system leverages vector embeddings, natural language processing, and machine learning to provide intelligent code comprehension and query capabilities.
-
Updated
Mar 27, 2025 - TypeScript
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
Chat-with-Your-Documents is an AI-powered document chatbot using RAG, FastAPI, and React.js for local PDF question answering.
reactjs chatbot embeddings rag fastapi vector-database llm langchain pdf-qa llma2 rag-pipeline llmagents
-
Updated
Feb 26, 2025 - JavaScript
RAG & LLM with Pathway to Process your Financial Reports and Tables from both structured data (tables) & unstructured data (text/images) with Claude Sonet 3.5 using Google Drive Connector of Pathway using streamlit
python nlp docker natural-language-processing pipeline google-drive-api rag docker-pipeline streamlit vector-database llm claude-api retrieval-augmented-generation rag-pipeline claude-3-5-sonnet
-
Updated
Apr 4, 2025 - Python
It's an AI chatbot based on RAG pipeline for answering queries related to Sitare University.
-
Updated
May 4, 2025 - Python
This is a production-ready applications using RAG-based Language Model.
-
Updated
Mar 19, 2024
Hybrid Search RAG Pipeline integrating BM25 and vector search techniques using LangChain
-
Updated
Aug 26, 2024 - Jupyter Notebook
A Retrieval-Augmented Generation pipeline that enhances LLMs with external knowledge.
nlp natural-language-processing transformers question-answering semantic-search faiss huggingface sentence-transformers llm retrieval-augmented-generation rag-pipeline
-
Updated
Apr 7, 2025 - 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."