Best AI agents for working with documents (2026)
Tools that let agents read, search and answer questions over your documents and files. We list 22 tools for working with documents below, each with a link-checked page, pricing as the maker states it and alternatives.
Google Deep Review
Google Research's multi-agent system that checks research papers, design docs, and legal or financial documents for logical gaps and unsupported claims.
Graphify
Turns a codebase plus its docs, SQL schemas, configs and PDFs into a knowledge graph that coding agents can query.
RAGFlow
Open-source RAG engine with deep document parsing and agent features for building grounded question-answering over your files.
Crawl4AI
Open-source crawler that turns websites into clean, LLM-ready Markdown for agents and RAG pipelines.
AnythingLLM
Local-first desktop and server app for chatting with your documents, running agents and connecting any LLM.
Context7
MCP server and platform that feeds coding agents up-to-date, version-specific library documentation.
LlamaIndex
Framework for agents over your data (RAG, document agents).
PageIndex
Document index for reasoning-based, vectorless RAG that lets agents navigate long documents like a table of contents.
Chroma
Open-source search and vector database widely used for agent memory and RAG.
Haystack
Open-source orchestration framework for building production LLM apps, RAG and agents.
LanceDB
Open-source multimodal vector database for search, RAG and agent memory.
Activeloop
Deep Lake, a multimodal database for AI that stores vectors, images, text and video so agents and RAG apps can search and retrieve them.
Unstract
LLM-powered platform for extracting structured data from documents via APIs and ETL pipelines.
LobsterAI
NetEase Youdao's desktop agent for data analysis, slides, documents and web research.
Code-Graph-RAG
Graph-based RAG for monorepos that lets agents query and edit multi-language code.
DocETL
System for agentic, LLM-powered document processing and ETL pipelines from UC Berkeley.
Microsoft Learn MCP
Official Microsoft Learn MCP server giving agents up-to-date Microsoft documentation.
Ref
Token-efficient documentation search for coding agents.
Agentset
Open-source RAG platform for building agents and apps that answer accurately from your documents.
Cresta Deputy Agent
Long-running agent that finishes customer-service back-office workflows, pausing for approvals or documents.
Hebbia
AI platform for finance and legal teams that runs agents across large document sets.
Mastra
TypeScript framework for agents, workflows and RAG.
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