Framework for building agents over your data.
Verdict: LlamaIndex is best for rAG and document agents; parsing complex PDFs. Builders mentioned it 2 times across 2 goals in our Aug 18, 2026–Oct 18, 2026 sample of X and Hacker News posts.
View LlamaIndex on GitHub ↗ Suggest an editFramework for building agents over your data. Source
Platforms: X, Hacker News · Date range: – · Updated Oct 18, 2026
| Use case | MentionsPosts | PositivePos. | Mixed | NegativeNeg. |
|---|---|---|---|---|
| AI agent builder | 2 | 2 | 0 | 0 |
Mentions = sampled opinion posts about LlamaIndex on that use-case page. Positive, mixed and negative are counted per point, not per post: they show the posts behind its recurring praise, disputed ("Split") and criticism points. One post can back several points, so these need not add up to the mentions, and the same post can appear under more than one use case. Positive, mixed and negative posts all count toward our feedback threshold.
| Free tier | Framework free; LlamaParse 10K credits/month Source |
| Paid plans | LlamaParse Starter $50/month (framework free) Source |
| Platforms | Python, TypeScript, Web (LlamaParse cloud) Source |
| Open source | Yes Source |