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Retrieval-Augmented Generation System Patent Landscape

Retrieval-Augmented Generation System Patent Landscape
Competitive Landscape

Retrieval-Augmented Generation System Patent Landscape in 2026

The RAG system patent space is nascent and fragmented, with meaningful activity emerging only from 2023 onward and no single applicant holding a dominant position. India leads jurisdictional filing, while the field’s AI-model core is flanked by sparse but technically relevant adjacent branches in healthcare, communications, and business-process applications.

104
Patent families in scope
22%
Top-5 share of top-100 filers
3-yr filing growth (lag-adj.)
India
Leading jurisdiction
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Published byPatSnap Insights Team··6 min readVerified by PatSnap Eureka data
Overview

Fragmented early-stage field with no clear dominant incumbent

The largest single filer, Vellore Institute of Technology, holds 6 patent families — the top position in a ranking where the top five applicants together account for 22% of the combined filings of the hundred largest filers, signalling a highly distributed competitive structure.

No tier gap separates the leader from the second-ranked applicant, TrustWise Inc at 5 patent families, or the third-and-fourth-ranked cluster of Salesforce Inc and Microsoft Technology Licensing LLC at 4 each. This compression across the top tier is characteristic of a field where IP positions are still being established rather than defended.

Leading applicants
#ApplicantPatent familiesShare
1Vellore Institute of Technology6
2TrustWise Inc5
3Salesforce Inc4
4Microsoft Technology Licensing LLC4
5Dell Products LP3
6MCKINSEY & CO INC3
7Siemens AG3
8Deep Eigenmatics Inc2
9Tectoniq Inc2
10The Toronto-Dominion Bank2
#ApplicantPatent familiesShare
11JIS University1
12Gali Indira Priyadarsini1
13Dr. Ujjwal Rao1
14Ms. Natar Sherlyn Blessy1
15Mr. Abishek M1
16Santosh Kumar Jankatti1
17AT&T COMM SERVICES INDIA PTE LTD1
18Ms. Neelima Konasani1
19SAS Institute Inc1
20NEC Laboratories Europe GmbH1
↗ Hover a row · click a company to ask Eureka

The presence of a research institution (Vellore Institute of Technology) at the apex, alongside technology companies and financial-sector firms, reflects the field’s dual academic-commercial origin and suggests that early foundational patents may carry disproportionate influence as the space matures.

The most recent 18–24 months of filing data are subject to publication lag and will undercount actual activity; the 2026 figures should be treated as a partial year. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.

Source: PatSnap Eureka. Chart shows the top applicants ranked by patent families. Applicant counts can overlap where a patent family lists several applicants, so they need not sum to the total in scope.Explore deeper in Eureka →
Trends & Structure

Explosive recent growth anchored in AI-model and data-processing classes

The filing trend and technology composition charts together reveal a field that barely existed before 2023 but has since accelerated sharply, with a technology mix dominated by AI and digital data-processing subclasses.

Annual filing trend

No filings were recorded from 2017 through 2022. Activity emerged in 2023 and climbed steeply through 2024 and into 2025. The 2026 count reflects only a partial year due to publication lag and should not be read as a plateau or decline.

Annual filing trendAnnual values from 2017 to 2026, peaking at 55 in 2025.02017020180201902020020210202252023252024552025192026↗ Hover for values · click a bar to ask Eureka

Technology composition

G06N (computing based on AI models) accounts for the vast majority of records, followed by G06F (electric digital data processing). All other branches — including G06Q for business and commerce, G16H for healthcare informatics, and H04L for digital communications — represent a small minority, confirming that RAG system patents cluster tightly around the AI-model core.

Technology compositionG06N · Computing based on AI models leads with 103; G06F · Electric digital data processing 72.G06N · Computing based o…103G06F · Electric digital …72G06Q · Business, commerc…16G16H · Healthcare inform…8H04L · Digital informati…8G06V · Image/video recog…4G06K · Data recognition …3G06T · Image data proces…3↗ Hover for values · click a bar to ask Eureka
Source: PatSnap Eureka. Technology-branch counts are measured in patent records; a single patent family can carry several IPC classes, so class totals can exceed the family total in scope.Explore deeper in Eureka →
Key Patents

Highly cited patent families surfaced by the query

Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.

Featured patent
US20250384283A1Published 2025-12-18

Rag pipeline optimization system

Trustwise INC.

According to an aspect of an embodiment, a method may include obtaining a blueprint associated with a retrieval-augmented generation (RAG) pipeline. The blueprint may define one or more objectives associated with the RAG pipeline. The method may further include performing an analysis of the RAG pipeline with respect to the one or more objectives. In some… (excerpt from the patent abstract)

Rag pipeline optimization system — patent drawingRag pipeline optimization system — patent drawing
Representative drawings from the patent document.
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Highly cited patent families surfaced by this query
#PatentCitations
1Systems and methods for ensuring resilience in gen…32
2Systems and Methods for Managing Decentralized Dat…28
3Systems and methods for an encoder-decoder based f…15
4System for knowledge instantiation and evidence sy…6
5Machine learning development using language models5
6Question answering using enhanced retrieval-augmen…4
7Methods and apparatuses for data integrity in retr…2
8System and Method for Real-Time Optimization of Re…2

Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.

Source: PatSnap Eureka. Citation-ranked patent families surfaced by this query.Open in Eureka →
Insights

What the competitive structure means for R&D investment decisions

Four structural observations — lifecycle stage, concentration, collaboration, and geography — each carry distinct implications for teams deciding where and how to file.

Maturity

Emerging field: no lifecycle stage yet established

The lifecycle stage for RAG system patents cannot yet be determined from available evidence, which itself is informative: the corpus is too young and small (104 patent families, with the earliest filings in 2023) for a stage classification to be statistically robust. Teams entering now are operating at the frontier rather than in a contested mature space. First-mover IP positions in core retrieval-augmentation architectures remain broadly available.

Nascent
Concentration

Low concentration creates entry opportunity and fragmentation risk

The top five filers hold 22% of the combined filings of the hundred largest filers, and no single player holds more than 6 patent families. This low concentration means no incumbent can currently block a well-targeted filing strategy. However, the absence of a dominant consolidator also means the landscape could shift quickly if a large platform player accelerates filing — Microsoft Technology Licensing LLC and Salesforce Inc are already present and ranked in the top four.

Fragmented
Collaboration

Co-filing activity is minimal: Siemens entities are the only documented pair

The only recorded co-applicant relationship is between Siemens AG and Siemens Corp — an intra-group filing pair rather than an external partnership. No cross-company or academia-industry collaboration is evidenced in the current corpus. This absence suggests the ecosystem has not yet developed the joint-development agreements and consortium structures typical of more mature AI subfields, leaving open-standard and standards-body collaboration as an unoccupied strategic space.

Low collaboration
Geography

India leads filing volume; the US and PCT routes are active secondary channels

India holds the largest share of patent records, followed by the United States and WIPO PCT filings. Europe via the EPO and China each have a small presence, while Canada and South Korea each account for a single record. The India-US-PCT triangle suggests that many applicants are pursuing national protection in their home market while using PCT to preserve international optionality — a pattern consistent with early-stage technology where global commercialization paths are still being defined.

India-led
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Top collaboration links
ApplicantCollaboratorCo-filings
Siemens AGSiemens Corporation1

Co-filing pairs, ranked by the number of jointly-filed patent families.

Source: PatSnap Eureka. Insights are derived from applicant ranking, collaboration, jurisdiction, and lifecycle evidence.Explore insights →
Leaders

Top players positioned across AI-model core and data-processing routes

The two ranked leaders illustrate the field’s dual character: an academic institution driving foundational AI-model and data-retrieval research, and an enterprise-focused technology firm concentrating on trustworthy AI architectures.

Leader · Vellore Institute of Technology

Vellore Institute of Technology

Vellore Institute of Technology leads with 6 patent families and enters the recent period as a new entrant, reflecting the field’s 2023-onward emergence. Its technology focus spans G06F 16 (digital data processing — information retrieval and databases), G06N 3 (neural computing models), and G06N 20 (machine learning), covering both the retrieval and generation components of RAG architectures.

families: 6
Challenger · TrustWise Inc

TrustWise Inc

TrustWise Inc holds 5 patent families and is also a new entrant in the recent filing window. Its portfolio is concentrated in G06N 3 (neural computing models) with a secondary emphasis on G06F 21 (security and access control in digital data processing), distinguishing it from most peers by pairing RAG capability with security and trust-layer concerns — an increasingly relevant positioning as enterprise RAG deployments face governance requirements.

families: 5
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Salesforce IncMicrosoft Technology Licensing LLC+ more
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Leading-applicant momentum (recent 3 yrs, lag-adjusted)
ApplicantRecent (3 yrs)Trend
TrustWise Inc2▲ new entrant
Microsoft Technology Licensing LLC2▲ new entrant
McKinsey & Company Inc3▲ new entrant
Siemens AG1▲ new entrant
Dell Products LP2▲ new entrant
The Toronto-Dominion Bank2▲ new entrant
Source: PatSnap Eureka. Player profiles are based on applicant ranking by patent families and technology focus data.Explore players →
Adjacent Branches

Under-served adjacent branches worth monitoring

Several IPC classes appear at low counts relative to the AI-model core, making them adjacent branches where the technical connection to RAG is plausible but patent coverage is thin.

G16H · Healthcare informatics

With 8 patent records against 103 in the dominant G06N class, healthcare informatics is sparsely covered. RAG architectures have a technically credible application path in clinical decision support, patient-record summarization, and drug-literature retrieval — use cases where grounded generation (rather than hallucinated responses) has direct safety value. Regulatory and compliance framing could support a differentiated filing strategy for medtech or health-IT applicants.

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H04L · Digital information transmission

Eight patent records map to H04L, covering digital communications contexts such as network telemetry analysis, security-event retrieval, and protocol-aware generation. As RAG systems are integrated into network management and cybersecurity platforms, this branch may see increased activity. The current sparse coverage represents an adjacent observation rather than a validated gap, but applicants already active in network infrastructure AI may find limited prior art here.

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G06V · Image/video recognitionG06K · Data recognition and presentation+ more
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Source: PatSnap Eureka. Branch counts are at the patent-record level; lower-count branches are presented as adjacent observations, not confirmed opportunities.Explore emerging →
Route Matrix

How leading applicants differ across technology routes

Strength of each leader across the main technology routes.

PlayerG06N 3 · Computing based on AI modelsG06F 16 · Electric digital data processingG06N 20 · Computing based on AI modelsG06N 5 · Computing based on AI modelsG06F 40 · Electric digital data processing
Vellore Institute of TechnologyStrong · 4Strong · 4Strong · 3AbsentAbsent
McKinsey & Company IncStrong · 3Strong · 3AbsentAbsentAbsent
Microsoft Technology Licensing LLCStrong · 2Strong · 2Strong · 2AbsentAbsent
TrustWise IncStrong · 5AbsentAbsentAbsentAbsent
Dell Products LPStrong · 2Strong · 3AbsentAbsentAbsent
Tectoniq IncStrong · 2Strong · 2AbsentAbsentAbsent
Source: PatSnap Eureka. Matrix values are measured in patent records and should not be compared directly with family-level applicant totals.Compare in Eureka →
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Disclaimer. This page is generated from PatSnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. PatSnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

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