chromadb

Local-first media asset manager with AI semantic search — reads pro-camera metadata (Sony XAVC sidecar, FX-series) and 360 footage (Insta360/GoPro Max) that consumer DAMs drop. FFmpeg + ChromaDB + local LLM.

FinchBot is an AI Agent framework that empowers agents with true autonomy, built on LangChain v1.2 and LangGraph v1.0. With fully async architecture, agents gain the ability to self-decide, self-extend, and self-evolve

Local memory infrastructure for AI agents. Store knowledge and skills in isolated vaults you compose, control and query.

This template demonstrates how to create a collaborative team of AI agents that work together to process, analyze, and generate insights from documents.

AI agent to search Google Flights data

My attempt at implementing retreival augmented generation on Ollama and other LLM services using chromadb and langchain while also providing an easy to understand, clean code for others since nobody else does

AI-powered learning platform with 6 specialized agents for personalized education. Features adaptive roadmaps, quizzes, tutoring, RAG document Q&A, and learning style adaptation. Built with Phidata, Streamlit, and LangChain.

AIGC Application Platform: Lingmengcan AI, large language model, aigc, stable diffusion, langchainjs, nestjs, vue3, naive ui, DeepSeek, chromadb

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.

Fully Configurable RAG Pipeline for Bengali Language RAG Applications. Supports both Local and Huggingface Models, Built with Langchain.

Multi-agent会话式金融研究平台。提供专业智能体（价格分析、新闻追踪、宏观经济、深度研究），支持实时流式响应、自动生成8章节投资报告和投资组合监控。采用LangGraph、FastAPI和React技术栈开发。

A comprehensive collection of Generative AI projects and experiments, covering RAG, chatbots, LLM fine-tuning, and more.

A Retrieval Augmented Generation (RAG) system using LangChain, Ollama, Chroma DB and Gemma 7B model.

Rust client library for ChromaDB

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.

The first Open-Souce RAG-LLM tool to analyse macroeconomic data and forecasts 🦜🔗

A basic application using langchain, streamlit, and large language models to build a system for Retrieval-Augmented Generation (RAG) based on documents, also includes how to use Groq and deploy your own applications.

An AI-powered chatbot that leverages RAG (Retrieval-Augmented Generation) to answer your questions based on the content of uploaded PDFs

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.

Leveraging LLMs for modernization through intelligent chunking, iterative prompting and reflection, and retrieval augmented generation (RAG).