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Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
Fast, developer-friendly open-source search engine and AI retrieval platform offering full-text, semantic, and hybrid search.
ChatGPT-store-ranked AI PowerPoint generator that turns text prompts or documents into exportable slide decks.
High-performance open-source vector database for production AI retrieval and RAG, for teams needing scale, hybrid search, or self-hosting.
No public pricing
No public pricing
Free trial available
Free trial available
No public pricing
- ✦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-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- ✦Sub-50ms search-as-you-type
- ✦Full-text, semantic, and hybrid search
- ✦Vector storage for RAG and similarity queries
- ✦Multimodal and federated search
- ✦Filtering, faceting, sorting, and geosearch
- ✦Managed cloud or self-hosted open source
- ✦Generate decks from a text prompt or uploaded document
- ✦Export as PowerPoint, PDF, or Google Slides
- ✦AI image generation within slides
- ✦API and MCP access for programmatic deck creation
- ✦Team seat plans with shared features
- ✦Branded custom ChatGPT app for enterprises
- ✦Hybrid dense and sparse vector search (BM25, SPLADE, miniCOIL)
- ✦Advanced metadata filtering applied during search traversal
- ✦Multivector support for multimodal retrieval
- ✦Reranking with score boosting and late-interaction models (ColBERT, MMR)
- ✦Flexible deployment: cloud, hybrid, private, or edge
- ✦Rust-based engine optimized for low-latency, high-scale search
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals
- →Adding fast site or app search
- →Building AI/RAG retrieval pipelines
- →E-commerce and media search experiences
- →Semantic search over private data
- →Producing a client or conference deck quickly from a prompt
- →Converting a PDF or YouTube video transcript into slides
- →Integrating deck generation into another app via API
- →Giving a whole team access to branded AI slide generation
- →Building retrieval-augmented generation (RAG) pipelines
- →Powering AI recommendation and semantic search systems
- →Enterprises needing on-prem or hybrid deployment for compliance
- →AI agent platforms needing fast contextual retrieval at scale