rag-pipeline

There are 0 repository under rag-pipeline topic.

Julian-AT / synth-ui
Generate & Ship UI with minimal effort - Open Source Generative UI with natural language
ai artificial-intelligence open-source rag-pipeline ui user-interface v0
Language:TypeScript 13
Clearedge-AI / clearedge
Build a RAG preprocessing pipeline
document-parser haystack langchain llamaindex llm ocr pdf pdf-ocr-extraction pdf-to-json pdf-to-text rag-pipeline retrieval-augmented-generation table-detection table-recognition
Language:Jupyter Notebook 11
MaxMLang / RAG-nificent
Production-ready Chainlit RAG application with Pinecone pipeline offering all Groq and OpenAI Models, to chat with your documents.
chainlit chatgpt langchain pinecone rag rag-implementation rag-pipeline vector-database gemma groq groqapi llama3 mistral-7b mistralai llama3-rag
Language:Python 9
lexio
Renumics / lexio
Quickest way to production grade RAG UI.
rag react chatbot-framework component-library rag-pipeline rag-ui ui-components chatbot-ui
Language:TypeScript 9
Dynatrace / obslab-llm-observability
Search for a holiday and get destination advice from an LLM. Observability by Dynatrace.
ai-observability application-observability demo dynatrace genai llm obslab ollama openai pinecone rag-pipeline
Language:HTML 6
AnasAber / RAG_in_CPU
This repo is for advanced RAG systems, each branch will represent a project based on RAG.
advanced-rag generative-ai llms rag rag-implementation rag-pipeline chromadb cohere cohere-api groq groq-api langchain chat-application chat-with-pdf faiss faiss-vector-database redis redis-cache
Language:Python 5
mistir-nigusse / LLM_Prompt_Engine
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.
gpt-3 langchain prompt-engineering rag-pipeline ragas
Language:Python 3
simranjeet97 / Learn_RAG_from_Scratch_LLM
Learn Retrieval-Augmented Generation (RAG) from Scratch using LLMs from Hugging Face and Langchain or Python
artificial-intelligence datascience-machinelearning genai-domain genai-usecase generative-ai llm-apps llm-evaluation llm-framework llm-training rag rag-application rag-chatbot rag-embeddings rag-evaluation rag-implementation rag-llm rag-model rag-pipeline retrieval-augmented-generation
Language:Jupyter Notebook 3
teddy-ambona / openai-rag-chatbot
Demo LLM (RAG pipeline) web app running locally using docker-compose. LLM and embedding models are consumed as services from OpenAI.
langchain llm mlops rag-pipeline vector-database
Language:Python 3
Aksherwal / AskSitare
It's an AI chatbot based on RAG pipeline for answering queries related to Sitare University.
cosine-similarity embeddings llama postgresql chatbot rag-pipeline
Language:HTML 1
AnasAber / MLflow_with_RAG
Using MLflow to deploy your RAG pipeline, using LLamaIndex, Langchain and Ollama/HuggingfaceLLMs/Groq
evaluation-metrics mlflow mlflow-projects mlflow-tracking mlflow-tracking-server mlflow-ui mlops mlops-template rag rag-evaluation rag-pipeline llamaindex llamaindex-rag cicd deployment mlops-project mlflow-deployement
Language:Python 1
devcom33 / Chat-with-Your-Documents
Chat-with-Your-Documents is an AI-powered document chatbot using RAG, FastAPI, and React.js for local PDF question answering.
chatbot embeddings fastapi langchain llm llma2 llmagents pdf-qa rag rag-pipeline reactjs vector-database
Language:JavaScript 1
dynamicanupam / Fashion_Recommendation_System_using_RAG_pipeline
A GenAI based search system that scans numerous fashion product descriptions to recommend suitable options based on user queries.
cross-encoder genai llm openai rag-pipeline text-embedding vector-database
Language:Jupyter Notebook 1
Md-Emon-Hasan / LangChain
Powerful framework for building applications with Large Language Models (LLMs), enabling seamless integration with memory, agents, and external data sources.
ai-chatbot chromadb document-processing faiss generative-ai huggingface knowledge-graph langchain large-language-models llm-agents llm-applications multi-modal-ai prompt-engineering rag-pipeline retrieval-augmented-generation semantic-search text-embedding vector-search custom-llm fine-tuning-llms
Language:Jupyter Notebook 1
Md-Emon-Hasan / Retrieval-Augmented-Generation-RAG
RAG enhances LLMs by retrieving relevant external knowledge before generating responses, improving accuracy and reducing hallucinations.
ai-chatbot chromadb custom-llm document-retrieval embedding-models faiss knowledge-graph langchain-rag llm-applications multi-modal-rag prompt-engineering rag-pipeline retrieval-augmented-generation semantic-search text-embedding vector-search huggingface-rag knowledge-augmented-llm llm-retrieval retrieval-qa
Language:Jupyter Notebook 1
kameshpoc / rag-data-pipeline
This repo is to demonstrate rag data processing pipeline using dataflow flex templates
cloud-storage-bucket dataflow-job embeddings flex-template gcp gcp-dataflow genai pickle-file rag rag-pipeline
Language:Python 0
nelima22 / hybrid_search_rag_pipeline
Hybrid Search RAG Pipeline integrating BM25 and vector search techniques using LangChain
hybrid-search-technique langchain rag-chatbot rag-pipeline
Language:Jupyter Notebook 0
Piyush-sri11 / QA-chatbot
A Question-Answering chatbot built using RAG (Retrieval-Augmented Generation) with conversation memory. This project uses LangChain, various LLM options, and vector stores to create an intelligent chatbot that can answer questions about Jessup Cellars winery.
chatbot faiss-vector-database groq-api huggingface langchain-python llama3 memory-management openai pinecone-db python qa-chatbot rag-pipeline
Language:Python 0
saadtariq-ds / Generative-AI-with-Langchain-and-Huggingface
This repository offers a hands-on guide to mastering Generative AI with Langchain and Huggingface. It covers key concepts, practical implementation, and deployment strategies to help AI enthusiasts, developers, and professionals build and optimize AI models efficiently
chatbots content-generation deep-learning deeplearning generative-ai generative-model huggingface langhchain llms machine-learning optimization rag-pipeline retrieval-augmented-generation transformers
Language:Jupyter Notebook 0
AVidhanR / HassleMediBot
A Rag Based Medical ChatBot
ai chatbot pygrok pyllama python rag-pipeline streamlit
Language:Jupyter Notebook
bhatt-j / RAG-QABot
Retrieval-Augmented Generation (RAG) Model for a Question Answering (QA) bot that interacts with financial data, specifically Profit & Loss (P&L) tables extracted from PDF documents.
rag rag-bot rag-chatbot rag-pipeline
Language:Jupyter Notebook
olifarhaan / rag-console-chat
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.
chromadb rag rag-pipeline retrieval-augmented-generation retrieval-chatbot vector-database console-application
Language:Python
sarvagyakrcs / git-your-code
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.
gemini langchain-js nextjs pg-vector rag-pipeline retrival-augmented-generation
Language:TypeScript
siddhantprateek / bitrac-rag
This is a production-ready applications using RAG-based Language Model.
llm mlops mlops-workflow rag rag-pipeline
tejas-130704 / WebScraperAI
WebScraperAI is a powerful tool that enables users to perform question-answering on website content using web scraping and retrieval-augmented generation (RAG) with LlamaIndex. It supports multiple LLMs, including OpenAI GPT-3.5, GPT-4, Gemini Pro, Gemini Ultra, and DeepSeek.
ai llms open-source python rag-pipeline streamlit web-scraping web-scraping-ai
Language:Python

rag-pipeline

Julian-AT / synth-ui

Clearedge-AI / clearedge

MaxMLang / RAG-nificent

Renumics / lexio

Dynatrace / obslab-llm-observability

AnasAber / RAG_in_CPU

mistir-nigusse / LLM_Prompt_Engine

simranjeet97 / Learn_RAG_from_Scratch_LLM

teddy-ambona / openai-rag-chatbot

Aksherwal / AskSitare

AnasAber / MLflow_with_RAG

devcom33 / Chat-with-Your-Documents

dynamicanupam / Fashion_Recommendation_System_using_RAG_pipeline

Md-Emon-Hasan / LangChain

Md-Emon-Hasan / Retrieval-Augmented-Generation-RAG

kameshpoc / rag-data-pipeline

nelima22 / hybrid_search_rag_pipeline

Piyush-sri11 / QA-chatbot

saadtariq-ds / Generative-AI-with-Langchain-and-Huggingface

AVidhanR / HassleMediBot

bhatt-j / RAG-QABot

olifarhaan / rag-console-chat

sarvagyakrcs / git-your-code

siddhantprateek / bitrac-rag

tejas-130704 / WebScraperAI