Collaborative and hybrid recommendation systems
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Updated
Jun 8, 2024 - Jupyter Notebook
Collaborative and hybrid recommendation systems
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.
AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.
Local character AI chatbot with chroma vector store memory and some scripts to process documents for Chroma
Admin UI for Chroma embedding database built with Next.js
This project is a chatbot application that utilizes Langchain and Ollama libraries to manage and process user queries using a large language model (LLM).
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
Fast LLM question answering + document indexing RAG in the command line
Use the universal VDF format for vector datasets to easily export and import data from all vector databases
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
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