This project aims to build a chatbot that responds to custom data.
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Updated
Jul 25, 2024 - Python
This project aims to build a chatbot that responds to custom data.
AdalFlow: The Library for LLM Applications
A cloud-native vector database, storage for next generation AI applications
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
QiDiHui: RAG, appbuilder, ErnieBot, multi-model, 十万个为什么
Built with Python, Gemini-flash, FAISS, LangChain, Streamlit, Vector Embeddings and integrates various powerful LLM libraries. Research Genie AI is an application that leverages AI to better interactions with academic research papers.
ultra fast, thread and process safe, easily queryable Indexes for Python.
Implementation of Corrective RAG using LangChain and LangGraph.
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
A basic RAG application for inventory management. Provides real-time stock updates, checks availability, suggests similar products, and generates responses to both customer and manager queries .
Fast and customizable framework for automatic and quick Causal Inference in Python
In this project I have built an app that can answer questions from your multiple PDFs using Google's gemini-1.5-flash model.
Developed a robust system for object recognition and reconstruction based on latent representations, with an exploration of noise injection effects.
An extension for oobabooga/text-generation-webui that enables the LLM to search the web using DuckDuckGo
DocChat: Langchain Retrieval System, seamlessly navigate and converse with your documents using Langchain-powered AI, transforming PDF content into actionable insights through natural language interactions.
🚀 Unlock the power of learning with this app! 💡 Explore video courses, chat with virtual assistants 💬, and access FAQs – all in one seamless edtech experience. 📚 Elevate your knowledge today! 🎓
Build a Retrieval Augmented Generation (RAG)
The GenericSuite AI for Python (backend version)
📚 RAG in Memory (Streamlit - Langchain - FAISS - OpenAI)
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