AI tools for data analysis: RAG and documents
Retrieval tools that let agents search documents, PDFs and knowledge bases and answer from them (RAG). Of the 93 tools on our data analysis page, 14 fit this narrower job. By pricing: 9 open source, 2 source-available, 3 pricing on the maker's site. The most-starred open repos here are Graphify (127,237 stars), PrivateGPT (57,594 stars), LlamaIndex (52,485 stars). Most come from the MCP & infra (4), frameworks (2), no-code builders (2) categories.
Graphify
Turns a codebase plus its docs, SQL schemas, configs and PDFs into a knowledge graph that coding agents can query.
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PrivateGPT
Open-source API layer that turns local models into private AI applications, with RAG, tools, skills, MCP and text-to-SQL on any OpenAI-compatible server.
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LlamaIndex
Framework for agents over your data (RAG, document agents).
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MindsHub
MindsDB's agent workspace for research, analysis, documents and coding, with a model router, a scoped vault for connected data and swappable open-source agent harnesses.
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ScrapeGraphAI
Python library that uses LLMs and graph logic to build scraping pipelines: describe the data you want and it extracts it from websites or documents.
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FastGPT
AI agent building platform with knowledge-base RAG, data processing and a visual workflow editor for deploying question-answering and automation apps.
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Unstract
LLM-powered platform for extracting structured data from documents via APIs and ETL pipelines.
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LobsterAI
NetEase Youdao's desktop agent for data analysis, slides, documents and web research.
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Sparrow
Open-source tool for structured data extraction from documents and images with ML, LLMs and vision LLMs, plus agentic workflows.
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Kiln
Free desktop app and open-source library for building AI systems with evals, RAG, agents, fine-tuning and synthetic data in one workbench.
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seekdb
AI-native search database for agent storage combining vector, text and structured data.
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Brandfetch MCP
Brandfetch's MCP server for searching brands and retrieving logos, design assets and company data.
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Extend MCP
Extend's MCP server for turning documents into structured data: parse, extract, classify, split and fill PDF forms.
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Zep
Context layer that unifies business data, documents and conversations into memory so agents complete tasks correctly.
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GitHub repos (11)
| Repo | GitHub stars | Licence | Last push |
|---|---|---|---|
| Graphify ↗ | 127,237 | Apache License 2.0 | 2026-10-16 |
| PrivateGPT ↗ | 57,594 | — | — |
| LlamaIndex ↗ | 52,485 | MIT | 2026-10-14 |
| MindsHub ↗ | 39,800 | MIT | 2026-09-10 |
| ScrapeGraphAI ↗ | 31,882 | — | — |
| FastGPT ↗ | 29,851 | — | — |
| Unstract ↗ | 7,285 | GNU AGPL v3.0 | 2026-10-16 |
| LobsterAI ↗ | 6,119 | MIT | 2026-10-16 |
| Sparrow ↗ | 5,225 | — | — |
| Kiln ↗ | 5,195 | — | — |
| seekdb ↗ | 3,157 | Apache License 2.0 | 2026-10-16 |
11 repos. Stars and licence come from each repo, checked when the listing was last verified.
FAQ
What are the best AI tools for data analysis focused on RAG and documents?
We list 14. The first three by GitHub stars and featured status are Graphify: Turns a codebase plus its docs, SQL schemas, configs and PDFs into a knowledge graph that coding agents can query.; PrivateGPT: Open-source API layer that turns local models into private AI applications, with RAG, tools, skills, MCP and text-to-SQL on any OpenAI-compatible server.; LlamaIndex: Framework for agents over your data (RAG, document agents).
Are there free or open-source options?
Yes: 9 open source, 2 source-available, 3 pricing on the maker's site. Pricing is as each maker states it.
More from data analysis
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