AI document Q&A

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.

Open-source vector DB with hybrid search and modules.

The broad LLM application framework — chains, agents, retrievers.

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 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.

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

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

Open-source multi-agent framework for schema-guided knowledge extraction from documents.

Tencent's open-source RAG framework that turns raw documents into a queryable knowledge base, ReAct agent, and self-maintaining wiki.

AI research assistant that searches, screens, and extracts data from 138M+ academic papers at scale.

Google's open-source Python library for LLM-driven structured extraction from unstructured text, with source-grounded outputs.

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

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.

Open-source Streamlit app that builds a custom RAG pipeline from a natural-language brief.

Native macOS screenshot tool that auto-names captures and lets you chat with an LLM about what's on screen.

Enterprise AI agent orchestration that brings RAG and agents to your existing data stack without migration.

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

Open-source Python framework from deepset for building production RAG pipelines and LLM agents.

Chat-native enterprise search and task automation hub that lives inside Slack and Google Chat.

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.

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

Read, list, and search your Google Drive from any MCP-compatible AI client.

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

Open-source AI chat connected to your docs, apps, and people

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

AI office assistant that turns your documents and connected apps into a cited, agentic knowledge base

Turn unstructured enterprise documents into LLM-ready data

State-of-the-art embedding models and rerankers purpose-built for retrieval and RAG.