User-friendly WebUI for LLMs (Formerly Ollama WebUI)
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Updated
May 19, 2024 - Svelte
User-friendly WebUI for LLMs (Formerly Ollama WebUI)
Considering how to analyse book collections, Large Language Model style
This is a LLM chatbot coded with LangChain. The web interface is coded with Streamlit. It implements a hybrid RAG (keyword and semantic search) and chat memory.
Collaborative and hybrid recommendation systems
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
Build a RAG app from scratch using Chroma and the ChatGPT API
Use the universal VDF format for vector datasets to easily export and import data from all vector databases
A chatbot using the RAG pipeline built with Django, Next.js 14, WebSockets, and powered by the LangChain framework. It leverages the llama2 model for processing user queries and generating responses.
QA-Pilot is an interactive chat project that leverages online/local LLM for rapid understanding and navigation of GitHub code repository or compressed file resource(e.g. xz, zip).
The Langchain Series Project showcases a variety of applications and integrations using Langchain for advanced NLP tasks. It includes modules for ChatBot, Chains, Agents, Tools, LangServe, LangSmith, RAG, and GROQ.
The project we developed under the "Hack the Insurance" hackathon organized by Coderspace and Anadolu Sigorta.
This project has implemented the RAG function on Jetson and supports TXT and PDF document formats. It uses MLC for 4-bit quantization of the Llama2-7b model, utilizes ChromaDB as the vector database, and connects these features with Lama_Index. I hope you like this project.
META LLAMA3 GENAI Real World UseCases End To End Implementation Guide
A simple application that helps to talk with raw texts using RAG (Retrieval Augmented Generation).
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