Build custom RAG applications quickly with modular tools
LlamaHub is a repository that provides data loaders, agent tools, and other utilities to help you build Retrieval-Augmented Generation (RAG) applications faster. You can mix and match components to connect large language models to various data sources, making it easier to create custom AI-powered apps. This saves time and effort by offering pre-built integrations and starter packs for common use cases.
Easily load data from various sources into your RAG app
Build intelligent agents to interact with data and models
Use pre-configured packs to start RAG projects quickly
Access curated datasets for training and testing purposes
Connect with popular frameworks like LlamaIndex and LangChain
This tool is best for:
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LlamaHub can be integrated with these apps and services:
Recent data shows that LlamaHub has 32.6K monthly visits (-36.5% decrease from the previous month), 40.0% bounce rate, and average 1.53 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 17% of total traffic. SEO performance is shown by 5 tracked keywords, with "llamaindex openapi tool" being the top-performing keyword with 210 monthly searches. See below for more info.
Monthly Visits
32.6K
Pages per Visit
1.53
Bounce Rate
40.0%
Average Time on Site
12s
| SEO Keyword | Volume | CPC |
|---|---|---|
| llamaindex openapi tool | 210 | - |
| llama_index.llms.google_genai github | 150 | - |
| llama text to iage | 180 | - |
| lamaindex hub | 130 | - |
| llamaparse | 9.4K | $3.57 |
| Source | Traffic Share |
|---|---|
| Direct | 38% |
| Search | 42% |
| Social | 4% |
| Referrals | 15% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 17% |
 | 10% |
 | 9% |
 | 7% |
 | 6% |
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