Python SDK for Milvus Vector Database
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Updated
Nov 24, 2025 - Python
Python SDK for Milvus Vector Database
AI Agent Development Platform - Supports multiple models (OpenAI/DeepSeek/Wenxin/Tongyi), knowledge base management, workflow automation, and enterprise-grade security. Built with Flask + Vue3 + LangChain, featuring one-click Docker deployment.
A Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while improving response times.
An AI agent that writes SEO-optimised blog posts and outputs a properly formatted markdown document.
A tool for summarizing search results and website content using FAISS, LLMs, and the Retrieval-Augmented Generation (RAG) technique.
AI-powered legal chatbot that leverages Retrieval-Augmented Generation (RAG) with DeepSeek R1 for advanced legal reasoning and document analysis. It provides a sophisticated legal assistant that can process and analyze complex legal documents, retrieve relevant information using advanced vector search, and generate nuanced legal analysis.
AI Lawyer is an intelligent reasoning legal assistant powered by DeepSeek , Ollama RAG and LangChain, designed to streamline legal research and document analysis. By leveraging retrieval-augmented generation (RAG), it provides precise legal insights, and contract summarization. With an intuitive Streamlit-based UI, analyze legal documents.
This is a RAG project to chat with your uploaded PDF , made using Langchain and Anthropic Claude 3 used as LLM , hosted using Streamlit
LLM graph-RAG SQL generator for large databases with poor documentation
Webapp to answer questions about my resume leveraging Langchain, OpenAI, Streamlit
Q&A System using BERT and Faiss Vector Database
"Solace AI: Your Empathetic Digital Confidant": Solace AI is an empathetic mental health companion that understands your emotions and personality to provide personalized support through natural conversations. It creates a judgment-free space where you can express yourself freely and receive compassionate guidance tailored just for you.
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Advanced RAG pipeline using Re-Ranking after initial retrieval
Faiss with sqlite
This repo is for advanced RAG systems, each branch will represent a project based on RAG.
It allows users to upload PDFs and ask questions about the content within these documents.
BankLLM is an AI-driven recommendation engine for banking, using OpenAI's models to analyze customer data and generate personalized product suggestions. It integrates LangChain, FAISS, and LangServe, with a FastAPI backend and Streamlit frontend, following an LLMOps approach for scalable deployment.
ChatPDF leverages Retrieval Augmented Generation (RAG) to let users chat with their PDF documents using natural language. Simply upload a PDF, and interactively query its content with ease. Perfect for extracting information, summarizing text, and enhancing document accessibility.
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