AI chat with PDF

Anthropic's flagship assistant for long-form writing, analysis, and coding.

OpenAI's multimodal flagship behind ChatGPT.

Managed vector database for production-scale similarity search.

Data framework for connecting LLMs to your data.

Google's flagship — strong at math, long context, and Workspace integration.

Serverless vector and document database for production RAG and AI agents

Vector search built into the operational database you're already using.

Open-source RAG framework for building custom AI assistants over your own documents in a few lines of Python.

Privacy-first desktop AI workspace that runs local and cloud models side by side.

Embedded, developer-friendly vector store for Python.

Moonshot AI's chat assistant with long-context document analysis, coding agents, and deep research built in.

Google's source-grounded research notebook that turns your documents into chats, briefs, and AI-hosted podcasts.

Open-source desktop AI assistant that wires every major LLM provider into one local app with agents, vision, and a code interpreter.

Open-source RAG engine with deep document parsing, hybrid search, and visual agent orchestration.

Open-source desktop and self-hosted app that turns your documents into a private chat-and-agent workspace.

Open-source personal AI that builds agents, searches your documents, and automates research across local files and the web.

Chat-with-your-documents RAG tool with citation-backed answers across uploaded PDFs and files.

Self-hostable RAG and agent framework that wires LangChain to any local open-source LLM and a knowledge base.

Production-ready RAG infrastructure with agentic search, citations, and model-agnostic plumbing.

Agent-as-a-Service platform with managed RAG and a no-code builder for vertical enterprise AI.

AI copilot for equity research that reads filings, transcripts, and KPI tables across 100,000+ public companies.

Open-source PDF parser built for RAG pipelines, with reading-order detection, table extraction, and bounding-box citations.

Conversational data analysis library that turns natural-language questions into pandas, SQL and chart code.

Infinite-canvas AI chat client that lets you branch, fork, and connect conversations as nodes instead of scrolling a single linear thread.

Browser extension that pipes YouTube transcripts, articles, and PDFs into ChatGPT, Claude, Gemini, or Mistral for instant summaries.

AI reading layer over arXiv with grounded Q&A, auto-summaries, and line-by-line discussion on every preprint.

Open-source RAG UI for chatting with your own documents, locally or self-hosted.

Vectorless reasoning-based retrieval for long documents, with traceable, auditable answers.

Production-ready, air-gapped RAG framework for querying your documents with local LLMs.

AI flashcard generator that turns PDFs, videos, and chats into spaced-repetition decks.

Conversational PDF Q&A bundled into a multi-app productivity membership.

Privacy-first Mac AI writing assistant that redacts PII before any cloud call and indexes your files locally.

AI research assistant that turns dense PDFs and literature reviews into searchable, citation-backed answers.

Chat-with-your-documents app that ingests PDFs, EPUBs, web pages and YouTube videos with cited answers.

Conversational Q&A over PDFs and other documents with citation-backed answers.

AI reading companion that decodes dense academic papers by highlighting and chatting with the PDF.

AI research assistant that summarizes PDFs and web pages and answers questions across your document library.

AI-powered personal knowledge base that summarizes, links, and quizzes you on everything you save.

ChatGPT-powered Chrome extension that summarizes articles, YouTube videos, and PDFs in one click.

Open-source document parsing for AI: PDFs, Office files, audio and video into clean, structured Markdown/JSON

A cited-answers notebook that turns links, PDFs, audio and video into podcasts, flashcards, mindmaps and textbooks.

Enterprise-grade document parsing and extraction with citation-grounded structured output

Turn unstructured enterprise documents into LLM-ready data