LlamaIndex
TL;DR中文
和LangChain并称的开源框架双雄，但走了一条更聚焦的路：从"通用LLM框架"收缩到"document AI / 文档解析"这个具体问题上。融资规模远小于LangChain（约$27.5M vs $260M），估值也小一个数量级。定位清晰但商业化规模仍待验证。
Worth-Joining Index · Scorecard
v2.1 ALPHA · 2026-08Career Score
—/100
Coverage
51%
Verified
17%
Stage cohort
Early
Vibe Check
🎪 community voting coming soon
Latest valuation
约$93M-money（Series A，2025年3月）
Total raised
$27.5M（Seed $8.5M + Series A $19M）
Team size
约105人
Traction · Key numbers
Funding
Total raised
$27.5M（Seed $8.5M + Series A $19M）
Rounds
3
$19M
Series A · 2025-03 · valuation 约$93M post-money（Series A，2025年3月） · led by Norwest Venture Partners
With: Greylock（跟投） · 最新一轮（Series A，2025-03）领投方为Norwest Venture Partners，Greylock作为既有投资人跟投。与fixture一致，未发现更新轮次。
Undisclosed
Strategic investment · 2025
With: Databricks Ventures, AWS Startups, KPMG · Came in after the Series A
Undisclosed
Seed · 2023-06 · led by Greylock
▸Strategic investors like Databricks, AWS, and KPMG are both endorsement and distribution channel
▸The last public raise was March 2025, with no news of a new round for over a year — could be a slower, more disciplined path, or fundraising going less smoothly than peers (compare LangChain's Oct 2025 $125M @ $1.25B)
Founders
Jerry Liu CEO
Led ML monitoring at Robust Intelligence, autonomous-driving AI research at Uber ATG, and recommender systems at Quora. A highly active thought leader in the AI engineering community — regularly publishes technical takes and demos, and his personal influence is a major driver of the company's developer acquisition
Simon Suo CTO
Co-founder
Reality · Working here
·High technical honesty: willing to publish research that undercuts its own core business (on small datasets, letting an LLM explore the file system directly beats RAG on accuracy)
·The unique value is the technical brand — commits and technical blog posts are portable personal branding, and working with a technical thought leader like Jerry Liu helps build industry influence
Signals & Risks
Editorial ✎
Good fit for
· Engineers with a specific interest in document AI / information extraction / RAG — one of the purest companies in this direction
· People who love open source and want to build technical influence
· People who can accept early-stage uncertainty and value "interesting problems" over "company certainty"
Ask in the interview
1. The latest round and runway — public information stops at March 2025, and this is the most important question
2. LlamaCloud's revenue and growth — open-source-to-commercial conversion is the make-or-break line for companies like this
3. How they think about frontier models swallowing document parsing — a clear, convincing answer is a good sign; if they dodge it, be careful
Data changelog
Community corrections → editorial review → applied, fully on the record
data as of 2026-08 · Source: LlamaIndex Careers page ↗
data as of 2025-03 · Source: Clay (funding dossier aggregator) ↗
data as of 2026-08 · Source: LlamaIndex Careers page ↗
data as of 2025-12 · Source: h1bdata.info (DOL LCA disclosure data) ↗
data as of 2026-08 · Source: LlamaIndex Careers page ↗
Sponsorship
✓ Publicly verifiable · government dataH-1B recent sponsorship activity Latest
DOL LCA Disclosure Data · FY2024 – FY2026 Q2 ↗| Fiscal year | LCAs certified | Positions | Avg salary |
|---|---|---|---|
| FY2026 | 2 | 2 | $200k |
| FY2025 | 3 | 3 | $200k |
✓ LlamaIndex has been filing LCAs for H-1B roles recently — actively sponsoring. An LCA is the required first step of an H-1B petition — the most direct public signal of whether a company sponsors right now.
H-1B approval history
USCIS H-1B Employer Data Hub · FY2021–2023 ↗No approvals in FY2021–2023. Most companies on the list were founded after 2022, so missing early records is normal — it doesn't mean they don't sponsor today. Confirm in interviews, or ask insiders in the group.
PERM green cards
DOL PERM Disclosure Data · FY2025 – FY2026 Q2（至2026年3月） ↗No records for this company in the imported PERM data. Green-card processes usually start once a company matures.
Want to check another company?Sponsorship lookup →
Editorial deep dive · Members only
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