#Chroma
Showing 18 of 18 repositories tagged #chroma, ranked by stars
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
Chat with your documents offline using AI.
Querying local documents, powered by LLM
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.
Paper-Agent 是一个面向科研人员和学生的智能论文检索与调研工具。项目基于多智能体协作架构(AutoGen + LangGraph),通过自然语言处理(NLP)、自动化搜索和知识库构建,帮助用户高效查找学术论文、分析文献内容,并进行论文调研。Paper-Agent 支持多平台集成、关键词搜索、自动分析、论文调研,提升了学术研究的效率。适用于论文写作、学术调研、科研项目管理等多种场景,是学术调研的理想助手。
A modern desktop application for exploring, managing, and analyzing vector databases
基于 Streamlit、LangChain 与 Chroma 的轻量级 RAG 学习项目,支持本地知识库上传、检索增强问答与聊天式交互。
Chromatone is a digital garden of visual music theory and a collection of visual music instruments
🌟DataTonic : A Data-Capable AGI-style Agent Builder of Agents , that creates swarms , runs commands and securely processes and creates datasets, databases, visualisations, and analyses.
Build your own Custom RAG Chatbot using Gradio, Langchain and Llama2
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
The repository explores various RAG techniques, including implementation guides, use cases, and best practices. Each article is designed to help researchers, developers, and enthusiasts understand and implement RAG systems efficiently.
An Example Plugin for ChatGPT, Utilizing FastAPI, LangChain and Chroma
Leveraging LLMs for modernization through intelligent chunking, iterative prompting and reflection, and retrieval augmented generation (RAG).
AI-powered fashion recommendation system leveraging LLMs, embeddings, and retrieval techniques to deliver personalized shopping experiences.
Local rag using ollama, langchain and chroma.
A simple RAG chatbot that can retrieve from a mediawiki data dump