✌️ A dynamic Retrieval-Augmented Generation (RAG) system with support for PDF indexing, website crawling, and semantic Q&A powered by OpenAI, Qdrant, and Streamlit.
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Nov 19, 2024 - Python
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pdf-rag
Here are 11 public repositories matching this topic...
An insurance PDF RAG system leveraging MongoDB Atlas Vector Search capabilities
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Jun 12, 2025 - Python
A microservices-based RAG platform that supports multi-format document parsing, semantic search, and conversational AI, powered by Google AI and Qdrant.
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Sep 15, 2025 - Python
LLM-based application leveraging LangChain for Retrieval-Augmented Generation (RAG) on imported PDF documents. Enables users to interactively query and converse with PDF content using vector-based retrieval.
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Nov 6, 2024 - Python
A PDF Question-Answering App built with RAG (Retrieval-Augmented Generation), allowing users to upload PDFs and ask context-based questions. Powered by Streamlit, LangChain, Ollama, and Chroma for efficient and accurate answers.
llama pdf-reader streamlit vector-database generative-ai langchain chromadb ollama llama3 pdf-rag pdf-question-answering rag-qa
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Sep 16, 2025 - Python
Cognivia AI is a powerful AI-powered PDF search and question-answering system built with LangChain, Pinecone Vector Store, OpenAI, and Supabase. Upload PDFs, ask questions, and get intelligent answers with persistent conversation memory.
embedded-systems openai question-answering semantic-search text-embedding pinecone streamli rag pdf-search vector-database ai-chatbot supbase langchain intelligent-document-processing chat-with-pdf pdf-rag
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Sep 8, 2025 - Python
Converse in natural language with your PDFs, without hallucination. Uses your own OpenAI API key for secure, accurate, and cost-controlled inference. Supports contextual chunking, semantic search, and source-grounded retrieval to ensure every response is verifiable and based on real document content.
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Jun 21, 2025 - Python
Backend service for Retrieval-Augmented Generation (RAG) using AWS Bedrock, Superduper, and MongoDB Atlas Vector Search.
mongodb insurance fsi mongodb-atlas mongodbatlas vector-search industry-solutions pdf-rag cross-backend-service
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May 16, 2025 - Python
A full-stack AI-powered application that lets users upload and chat with their PDF documents. It combines seamless PDF processing, intelligent responses, and a minimalistic design to deliver a smooth and intuitive user experience.
react redis express tailwindcss gemini-api noodejs generative-ai langchain pdf-chat-bot pdf-chat pineconedb pdf-rag
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Sep 14, 2025 - TypeScript
A high-performance RAG system for PDFs using multi-vector embeddings (ColPali / ColQwen / ColSmol) with vector search in Qdrant, prefetch optimization, and reranking for improved relevance. Designed for speed, accuracy, and scalability, this system is ideal for building intelligent search, document understanding, and QA applications.
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Sep 12, 2025 - Python
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