Reka AI vs LangChain

Side-by-side comparison of AI visibility scores, market position, and capabilities

LangChain leads in AI visibility (86 vs 29)
Reka AI logo

Reka AI

EmergingArtificial Intelligence

Multimodal Enterprise AI Models

Raised $110M Series B (Jul 2025) backed by NVIDIA and Snowflake. $1B+ valuation. Independent multimodal lab (text, image, video, audio natively). Active enterprise deployments 2026.

AI VisibilityBeta
Overall Score
D29
Category Rank
#1 of 1
AI Consensus
76%
Trend
up
Per Platform
ChatGPT
29
Perplexity
32
Gemini
33

About

Reka AI is an independent multimodal foundation model laboratory — one of the few AI labs outside the hyperscalers that natively processes text, image, video, and audio in a unified model architecture rather than stitching together separate unimodal models. The company raised $110 million in Series B financing in July 2025, backed by NVIDIA and Snowflake at a $1 billion+ valuation, with active enterprise deployments underway in 2026.

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LangChain logo

LangChain

LeaderAI Infrastructure

AI Agent Framework

Most cited AI agent framework in 2026; LangGraph has 8,200+ GitHub stars. $25M Series A at $200M valuation. LangSmith observability platform for production agents. Used in majority of enterprise multi-agent deployments; 80K+ GitHub stars total.

AI VisibilityBeta
Overall Score
A86
Category Rank
#2 of 2
AI Consensus
86%
Trend
up
Per Platform
ChatGPT
87
Perplexity
88
Gemini
93

About

LangChain was founded in 2022 by Harrison Chase and emerged from the open-source community as the dominant framework for building applications powered by large language models. Originally a Python library, it provided developers with composable building blocks—chains, agents, memory modules, and tool integrations—to connect LLMs with external data sources and APIs. The framework addressed a critical gap: making it practical to build production-grade LLM applications beyond simple prompt-and-response patterns.\n\nLangChain's product portfolio has expanded significantly, with LangGraph serving as its graph-based orchestration layer for stateful, multi-actor AI agent workflows. LangSmith provides observability, debugging, and evaluation tooling for LLM pipelines in production. The commercial LangChain Platform offers hosted deployment and collaboration features for enterprise teams. These products target AI engineers, ML teams at enterprises, and the broader developer community building agent-based systems and RAG pipelines.\n\nWith over 100,000 active developers and LangGraph accumulating 8,200+ GitHub stars, LangChain remains the most cited AI agent framework heading into 2026. The company raised a $25M Series A at a $200M valuation and has become deeply embedded in how enterprises build and deploy AI agents. Its ecosystem of integrations—covering hundreds of LLM providers, vector databases, and tools—makes it a foundational layer of the modern AI application stack.

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AI Visibility Head-to-Head

29
Overall Score
86
#1
Category Rank
#2
76
AI Consensus
86
up
Trend
up
29
ChatGPT
87
32
Perplexity
88
33
Gemini
93
30
Claude
90
39
Grok
90

Key Details

Category
Multimodal Enterprise AI Models
AI Agent Framework
Tier
Emerging
Leader
Entity Type
brand
oss project

Capabilities & Ecosystem

Capabilities

Only Reka AI
Multimodal Enterprise AI Models
LangChain is classified as oss project.

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