#Chromadb
Showing 60 of 66 repositories tagged #chromadb, ranked by stars
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
The best-benchmarked open-source AI memory system. And it's free.
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.
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
YouTube Full Text Search - Search all of YouTube from the command line
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.
Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone
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.
A collection of apps powered by the LangChain LLM framework.
AI Chatbot for analyzing/extracting information from data in conversational format.
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
基于LangChain、FastAPI和React的RAG项目，主分支为基于RAG的智能笔记助手，base-rag分支为开箱即用的基础RAG项目供学习使用
A LLM RAG system runs on your laptop. 大模型检索增强生成系统，可以轻松部署在笔记本电脑上，实现本地知识库智能问答。
Hybrid RAG system combining vector search, knowledge graph (LightRAG), and cross-encoder reranking — with Docling document parsing, visual intelligence (image/table captioning), agentic streaming chat, and inline citations. Powered by Gemini or local Ollama models.
AI-powered real estate platform with conversational property search, analytics, and market insights. Built with FastAPI + Next.js + ChromaDB.
Comprehensive Vector Data Tooling. The universal interface for all vector database, datasets and RAG platforms. Easily export, import, backup, re-embed (using any model) or access your vector data from any vector databases or repository.
基于 LangChain/LangGraph 的 ReAct Agent ，结合 RAG、工具调用与 Streamlit 界面，面向智能客服与报告生成场景。
A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.
本地化 AI 小说精修工作台🚀。内置 RAG 长时记忆🧠、三模态协作（作家/主编/助手）🖋️、卡片流式编辑器⚡。支持酒馆卡导入、全书自动化精修与扩写🎭。AI小说加料 小说精修 AI文本修改 小说扩写 小说总结
eShopLite is a set of reference .NET applications implementing an eCommerce site with features like Semantic Search, MCP, Reasoning models and more.
🚀 Build powerful agents and configurations with the complete collection of Claude Code from an Anthropic hackathon winner, refined over 10+ months.
RAG using Llama3, Langchain and ChromaDB
Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Claude, Ollama, OpenRouter). OpenAI-compatible API. 2100+ tests.
Memory that learns what works.
Learn GenAI and Agentic AI from Zero to Production
Ask questions about your Obsidian notes using local AI. Privacy-first RAG with Ollama, LM Studio, or any OpenAI-compatible server. Obsidian plugin + Docker + PyPI.
Secure, locally-run Retrieval-Augmented Generation system for document-based question-answering, utilizing Llama 3, Mistral, and Gemini models with a user-friendly Streamlit interface.
A thin client for Chroma Vector DB implemented in Java
This project applies the core knowledge from the LLMOps module, including the design and implementation of the API Layer, Inference Layer, Observability Layer, Cache Layer, Guardrails Layer, Routing Layer, and the Data Ingestion Pipeline.
AI-assisted project knowledge workspace for development teams.
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
Persistent memory for Claude Code & Codex CLI. Auto-extracted knowledge graph, multi-representation embeddings, 3D WebGL visualization. LongMemEval R@5=97.45%. Self-hosted, Ollama-optional
Chart for deploying ChromaDB in Kubernetes
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
AI Engineering Specially Topics- Agentic AI & GenAI Explanation
LLM using long-term memory through vector database
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
📚 Lama Loca — локальный ИИ-ассистент для учёбы. Учится по вашим книгам, создаёт отчёты, презентации, конспекты. Полностью офлайн.
Fully Configurable RAG Pipeline for Bengali Language RAG Applications. Supports both Local and Huggingface Models, Built with Langchain.
Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models
Rust client library for ChromaDB
ChromaDB Explorer for MacOS
Outcome-based persistent memory MCP server for Claude Code and OpenCode. Good advice promoted, bad advice demoted. pip install roampal.
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.
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。
DocChat is an AI-powered Multi-Agent RAG system using Docling for structured document parsing and BM25 + vector search retrievers to retrieve fact-checked answers from PDFs, DOCX, and text files, preventing hallucinations. 🚀
Ask question over your Notion Database! A naive Retrieval-Augmented Generation (RAG) pipeline backed by Langchain and Streamlit
Leveraging LLMs for modernization through intelligent chunking, iterative prompting and reflection, and retrieval augmented generation (RAG).
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.
Advanced-RAG-LangGraph is a Streamlit-based web application that implements an advanced Retrieval-Augmented Generation (RAG) pipeline using LangGraph, ChromaDB, and Tavily to enable interactive document-based Q&A with enhanced retrieval and error-handling capabilities.
🤵 AIfred-Intelligence — self-hosted Multi-Agent Assistant with Debate Modes (Symposion/Tribunal), Voice (STT + Streaming-TTS), RAG with Long-Term Memory, Web Research and Tool-Calling. Reachable via Web-UI or Telegram/Discord/Email/EPIM. Multi-Backend: llama-swap, Ollama, vLLM, TabbyAPI.
AI Agent for app stability analysis — crash logs, ANR, OOM, freezes & more. Parses, symbolizes (addr2line/atos), extracts code context, and generates root-cause fix suggestions via LangGraph + RAG. iOS/Android/macOS/Linux/Windows. App 稳定性智能分析 Agent
PsyChat 是一款基于范例引导与Agentic RAG的智能 AI 心理咨询助手。基于高度匹配的Few-shot与学习笔记，应用理性情绪行为疗法（REBT）帮助用户识别并调整非理性信念，缓解负面情绪。
High-performance infrastructure libraries built in Rust, with seamless bindings for Python, Node.js, and WebAssembly.
META LLAMA3 GENAI Real World UseCases End To End Implementation Guide
Persistent RAG memory layer for AI agents - store observations, retrieve context by semantic similarity, self-prune on TTL