Self-Evolving RAG System with ChromaDB for continuous knowledge updates (6x daily), designed to overcome Large Language Model data cutoff limitations.
-
Updated
Nov 13, 2025 - Python
Self-Evolving RAG System with ChromaDB for continuous knowledge updates (6x daily), designed to overcome Large Language Model data cutoff limitations.
The documentation repo for Weaviate Database, Cloud, Agents and much more!
Memory for AI Agents in 6 lines of code
💰 Track your expenses easily with this Python tool that logs, views, and analyzes spending using a local CSV file for simple, efficient budgeting.
Context retrieval for AI agents across apps and databases
🔍 Search for similar academic papers using semantic search. Utilize local models or OpenAI API for high-quality results.
🧠 Build a RAG-driven chatbot to answer user questions using real-world knowledge from documents, focused on mental health and social policy in Indonesia.
🛠️ Run local Large Language Models offline with ease using Ollama for streamlined access and interaction.
🔍 Run local Large Language Models easily with Ollama, enhancing your offline AI experience and enabling seamless interaction with your data.
🤖 Build AI agents that combine OpenAI's orchestration and Claude's execution for effective production solutions.
🛠️ Simplify your tasks with MineContext, an open-source AI tool that provides context-aware support for clarity and efficiency in work and study.
🗄️ Streamline data analysis with ConsciousDB, a vector database that integrates directly with your models for enhanced performance and ease of use.
🧠 Enhance AI conversations with Cognio, a persistent memory server that retains context and enables meaningful semantic search across sessions.
🗓️ Simplify booking with this AI service agent that processes queries, finds local options, and offers immediate slots and notifications.
🚀 Build and explore multi-agent AI workflows with ready-to-use projects for document serving, Q/A bots, and orchestration.
📊 Analyze data efficiently with Claude Data Analysis Assistant, using AI-driven commands for insights, visualizations, and comprehensive reports.
📄 Empower document management with this FastAPI service that uploads, searches, and summarizes text documents using advanced NLP techniques.
🤖 Build a smart AI assistant that learns from any website using a Retrieval-Augmented Generation framework with local models powered by Ollama.
🤖 Explore GhanaGPT, an AI assistant for document analysis and web search, offering support for Ga and Twi languages through smart, context-aware interactions.
Add a description, image, and links to the vector-database topic page so that developers can more easily learn about it.
To associate your repository with the vector-database topic, visit your repo's landing page and select "manage topics."