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Turns company documents into an AI assistant that answers only from your files with citations, abstaining when evidence is missing.
B2B technology platform connecting churches, nonprofits and faith organizations with values-aligned AI tools and outreach.
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
All-in-one research platform for reading, writing and managing papers; high traffic.
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Grounded answers cited to source documents
- ✦Refuses to answer without supporting evidence
- ✦Supports 9 file types (PDF, DOCX, XLSX and more)
- ✦In-app chat, embeddable widget and REST API
- ✦Snippet capture and Slack message saving
- ✦Vector search over your corpus
- ✦Ministry and engagement tools for churches
- ✦Enterprise reach and outreach solutions
- ✦Values-aligned AI models for developers
- ✦Connected ecosystem of 450,000+ organizations
- ✦LlamaParse document parsing and extraction
- ✦Open-source framework for AI agents and workflows
- ✦Document indexing for retrieval/RAG
- ✦Prebuilt solutions by industry and use case
- ✦Free starter credits for LlamaParse
- ✦AI Search
- ✦Literature Review
- ✦AI Writer
- ✦Reference Manager
- ✦Chat with PDF
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- →Internal knowledge management
- →Employee onboarding and HR queries
- →Customer support and website FAQs
- →Technical documentation search
- →Help churches connect with and serve their people
- →Give nonprofits broader missional reach
- →Build faith-aligned apps on values-based AI
- →Link organizations across the faith ecosystem
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents
- →Finding relevant research papers and getting research-backed answers.
- →Analyzing papers faster with accurate data extraction.
- →Generating and polishing academic content using AI.
- →Streamlining citation and reference management.
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals