Python SDK for Milvus Vector Database
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Updated
Apr 29, 2025 - Python
Python SDK for Milvus Vector Database
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.
Building Essence Towards Personalized Knowledge Model - PKM
Gemma2(9B), Llama3-8B-Finetune-and-RAG, code base for sample, implemented in Kaggle platform
Webapp to answer questions about my resume leveraging Langchain, OpenAI, Streamlit
This is a RAG project to chat with your uploaded PDF , made using Langchain and Anthropic Claude 3 used as LLM , hosted using Streamlit
Q&A System using BERT and Faiss Vector Database
LLM graph-RAG SQL generator for large databases with poor documentation
A modular, multi-agent AI research and report generation platform. Enter any topic, and PolyAgent Research Intelligence orchestrates multiple AI agents to retrieve literature, analyze data, and generate a polished report. Built for researchers and AI/ML engineers, leveraging LangChain, FastAPI, PostgreSQL, advanced LLMs, and a Next.js front-end.
It allows users to upload PDFs and ask questions about the content within these documents.
LLM App to demystify and summarize Terms and Conditions agreements
Advanced RAG pipeline using Re-Ranking after initial retrieval
This repo is for advanced RAG systems, each branch will represent a project based on RAG.
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.
Generative AI projetc using LangChain for similarity search. Input 3 articles urls and ask something about the topic
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.
Implementing LangChain concepts and building meaningful stuffs
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