document-loader

Intelligent document OCR and structured extraction. Turn PDFs and images into typed JSON with zero vendor lock-in.

Enhance GPT-3.5-Turbo output using Retrieval-Augmented Generation (RAG) with a user-friendly interface. Select between Wikipedia or integrate external documents to experience precise, context-aware responses.

This repo demonstrates how to use Document Loaders in LangChain to fetch data from sources like text, PDFs, directories, web pages, and CSV files, and convert it into a standard Document format with content and metadata for use with LLMs.

📄 Summarize research papers, extract citations, and answer queries with this AI-powered assistant built using LangChain and OpenAI's GPT model.

A LangChain community document loader for Google Classroom. Extract coursework, materials, and Drive attachments for RAG pipelines.

Smart Quiz Generator is a Streamlit-based app that uses GPT-4 to create quizzes (MCQ, True/False, or Fill-in-the-Blank) from your own documents (PDF/TXT) or web pages. It processes content, stores it in a FAISS vector store for quick retrieval, and generates customized quizzes based on a chosen topic.

A local-first ComfyUI plugin for uploading and parsing many file formats, then analyzing them with local Ollama models.

Token-efficient web content extraction for Python. DOM AST pruning + BM25 section filtering cuts LLM context by 90%+ — LangChain-compatible, no API key required.

Successfully developed a Multi-Domain AI Personal Assistant using LangChain, OpenAI, and Streamlit. The application seamlessly integrates multiple specialized capabilities, including document-based question answering (QA), Python code execution, debugging, explanation and optimization, web search, latest news retrieval, and currency conversion.

LangChain integration package for Synap DocuAnalyzer

Python SDK for Capslane YouTube transcripts, with an optional LangChain document loader and timestamp citations.

A minimal Retrieval-Augmented Generation (RAG) pipeline built with LangChain, Qdrant, and HuggingFace embeddings. Ingest PDF documents into a vector store and query them using an LLM with grounded, context-aware responses.

LangChain integration for Ujeebu web scraping and content extraction APIs

Successfully developed an LLM application which generates a summary, a list of citations and references and response to a user's query based on the research paper's content.

LangChain document loader for Scrapiq — URL to clean documents for RAG

A content navigator powered by GPT-3.5-Turbo to explore multiple documents uploaded using Streamlit UI. It uses `Document Array Memory` for small and `Pinecone` for large document pools and delivers concise, referenced search results.

Gen AI with framework Langchain

Route LangChain web access through ProxyHat residential proxies — ProxyHatLoader + fetch tool with geo-targeting and sticky sessions.

Examples of top-used LangChain document loaders including CSVLoader, DirectoryLoader, PyPDFLoader, TextLoader, and WebBaseLoader. These loaders standardize raw data into LangChain Document objects for further processing, splitting, embeddings, and RAG workflows.

LangChain integration for QuanticData — document loaders, a live-web retriever and a 9-tool agent toolkit: scraping to Markdown, SERP search, crawl/map, SEO audits and 74 ready-made collectors.