nsrinidhibhat / gradio_RAG
Code and resources showcasing the Retrieval-Augmented Generation (RAG) technique, a solution for enhancing data freshness in Large Language Models (LLMs). Incorporate up-to-date external knowledge into LLM-generated responses. Additionally, this repository includes a Gradio-based user interface for seamless model deployment.
☆53Updated last year
Alternatives and similar repositories for gradio_RAG:
Users that are interested in gradio_RAG are comparing it to the libraries listed below
- LangChain, Llama2-Chat, and zero- and few-shot prompting are used to generate synthetic datasets for IR and RAG system evaluation☆36Updated last year
- I have explained how to create superior RAG pipeline for complex pdfs using LlamaParse. We can extract text and tables from pdf and QA on…☆44Updated last year
- LLM Chatbot w/ Retrieval Augmented Generation using Llamaindex. It demonstrates how to impl. chunking, indexing, and source citation.☆44Updated last year
- Create a knowledge graph out of unstructed legal text - use said knowledge graph in a graph augmented retrieval augmented generation pipe…☆44Updated 7 months ago
- ☆41Updated last year
- Simple Chat UI using Falcon model, LangChain and Chainlit☆61Updated last year
- A complete guide to evaluate LLMs and RAGs. Both theory and code based approaches covered.☆25Updated last year
- A collection of personally developed projects contributing towards the advancement of Artificial General Intelligence(AGI)☆124Updated last year
- Build your own Custom RAG Chatbot using Gradio, Langchain and Llama2☆72Updated last year
- Implementation of Corrective RAG using LangChain and LangGraph.☆26Updated last month
- A library for evaluating Retrieval-Augmented Generation (RAG) systems (The traditional ways).☆34Updated 8 months ago
- Tutorials from AutoGen Basics to Use Cases☆31Updated last year
- Simple example to showcase how to use llamaparser to parse PDF files☆83Updated 7 months ago
- RAGArch is a Streamlit-based application that empowers users to experiment with various components and parameters of Retrieval-Augmented …☆84Updated last year
- Chainlit app for advanced RAG. Uses llamaparse, langchain, qdrant and models from groq.☆45Updated 11 months ago
- ☆45Updated last year
- Build Enterprise RAG (Retriver Augmented Generation) Pipelines to tackle various Generative AI use cases with LLM's by simply plugging co…☆109Updated 9 months ago
- Repo contains the code, data and supporting documents including presentations, playbooks and additional documents to support learning☆136Updated 9 months ago
- Complete example of how to build an Agentic RAG architecture with Redis, Amazon Bedrock, and LlamaIndex.☆91Updated 5 months ago
- Question Answer Generation App using Mistral 7B, Langchain, and FastAPI.☆65Updated last year
- ☆59Updated 10 months ago
- ☆37Updated last year
- RAG with Knowledge Graph☆38Updated last year
- Haystack and Mistral 7B RAG Implementation. It is based on completely open-source stack.☆79Updated last year
- A semantic research engine to get relevant papers based on a user query. Application frontend with Chainlit Copilot. Observability with L…☆82Updated last year
- ☆59Updated last year
- Building Private Healthcare AI Assistant for Clinics Using Qdrant Hybrid Cloud, DSPy and Groq - Llama3☆22Updated 11 months ago
- ☆60Updated last year
- A starter app to build AI powered chat bots with Astra DB and LlamaIndex☆74Updated last year
- Qualitative Data Analysis done by AI (or LLMs). 🖥️ Streamlit & 🔗 Langchain☆42Updated 3 months ago