There are 6 repositories under chromadb topic.
The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
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.
YouTube Full Text Search - Search all of a YouTube channel from the command line
Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone
AI Chatbot for analyzing/extracting information from data in conversational format.
A collection of apps powered by the LangChain LLM framework.
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
The only Vector tooling you'll need. Use the universal VDF format for vector datasets to easily export and import data from all vector databases
Harnessing the Memory Power of the Camelids
QA-Pilot is an interactive chat project that leverages online/local LLM for rapid understanding and navigation of GitHub code repository.
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
GPT-4 Enhanced with Real-Time Web Browsing 🔗
Admin UI for Chroma embedding database built with Next.js
Python Streamlit web app utilizing OpenAI (GPT4) and LangChain LLM tools with access to Wikipedia, DuckDuckgo Search, and a ChromaDB with previous research embeddings. Ultimately delivering a research report for a user-specified input, including an introduction, quantitative facts, as well as relevant publications, books, and youtube links.
The Go client for Chroma vector database
RAG using Llama3, Langchain and ChromaDB
GPT4 & LangChain Chatbot for large PDF, docx, pptx, csv, txt, html docs, powered by ChromaDB and ChatGPT.
Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models
LLM using long-term memory through vector database
A thin client for Chroma Vector DB implemented in Java
AI-powered task management system template w/ free storage use
Quick start. Index multiple documents in a repository using HuggingFace embeddings. Save them in Chroma and / or FAISS for recall. Choose OpenAI or Azure OpenAI APIs to get answers to your questions - Q&A with OpenAI and Azure OpenAI.
Chart for deploying ChromaDB in Kubernetes
Clone of writesonic.com & copy.ai - BlogIQ is an innovative app powered by OpenAI and Langchain, designed to streamline the content creation process for bloggers.
Zephyr 7B beta RAG Demo inside a Gradio app powered by BGE Embeddings, ChromaDB, and Zephyr 7B Beta LLM.
This sample shows how to create two AKS-hosted chat applications that use OpenAI, LangChain, ChromaDB, and Chainlit using Python and deploy them to an AKS environment built in Terraform.
Fully Configurable RAG Pipeline for Bengali Language RAG Applications. Supports both Local and Huggingface Models, Built with Langchain.
This repo is a beginner's guide to using Chroma. It covers all the major features including adding data, querying collections, updating and deleting data, and using different embedding functions. Each topic has its own dedicated folder with a detailed README and corresponding Python scripts for a practical understanding.
Local character AI chatbot with chroma vector store memory and some scripts to process documents for Chroma
PyGPTPrompt: A CLI tool that manages context windows for AI models, facilitating user interaction and data ingestion for optimized long-term memory and task automation.
AppifyAi: Transform conversations into stunning web apps. Dynamic code generation + intuitive interface. Unleash your creativity effortlessly. Use the power of GPT OpenAI LLM and 🦜️🔗 LangChain ⚡and ChromaDB.
A chatbot demo that scrapes a website and stores the result in a vector db, which can then be queried via natual language - chatgpt style.
OSGPT is a powerful plugin designed to dynamically load documents from specified folders and create searchable vector databases. Not only does it offer a quick way to query from your documents, but it also allows you to execute CLI commands on the host system, be it Linux/Unix or Windows.
Rust client library for ChromaDB