LandingAI alternatives in 2026: 24 tools like LandingAI

Closest: Document Parsing

Docling

Document conversion and parsing toolkit for gen AI pipelines

Curated

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LlamaParse

Optimized document parsing for RAG by LlamaIndex

CuratedWeb

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Marker

Convert PDFs to markdown quickly and accurately

Curated

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Reducto

High-accuracy document extraction for complex PDFs

Curated

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Sarvam Vision

Document parsing model for Indian-language PDFs, forms and handwriting

CuratedWeb

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Unstructured

Document processing for RAG pipelines

Curated

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Upstage Document Parse

Converts complex documents into formats LLMs can read, plus data extraction

CuratedWeb

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More in RAG & Memory

DSPy

Framework for algorithmically optimizing LM prompts and pipelines

Curated

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Haystack

End-to-end NLP framework for LLM apps

Curated

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LangChain

Framework for developing LLM-powered applications

Curated

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LlamaIndex

Data framework for LLM applications

Curated

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Semantic Kernel

Microsoft's AI orchestration SDK; successor is Microsoft Agent Framework

Curated

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Spring AI

Spring framework for Java AI application development

Curated

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BGE Reranker

BAAI's high-performance multilingual reranker

Curated

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Cohere Rerank

Reranking models from Cohere for improving RAG relevance

Curated

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ColBERT

Late interaction retrieval model with token-level embeddings

Curated

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Jina Reranker

Multilingual reranker for improving RAG precision

Curated

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Sentence Transformers

Python framework for training and running embedding models

Curated

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Cognee

Semantic memory layer building knowledge graphs for AI agents

Curated

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Letta (MemGPT)

Platform for stateful agents with advanced memory that learns over time

Curated

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Mem0

Universal persistent memory layer for AI agents and assistants

Curated

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Supermemory

Memory and context API that gives AI agents long-term recall

Curated

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Zep

Temporal knowledge graph memory for agents (Graphiti)

Curated

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F

FlashRank

Ultra-lite cross-encoder reranking for RAG

Curated

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Questions

What are the closest alternatives to LandingAI?

Docling, LlamaParse and Marker sit on the same sub-line as LandingAI (Document Parsing) on AI Landscape, with 4 more.

How are these alternatives chosen?

They are the other products on the RAG & Memory stop of the map: curated products first, the ones on LandingAI's sub-line before the rest, then by name until members have marked enough of them.