---
title: "examples vs redis-vl-python"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/pinecone-io-examples-vs-redis-redis-vl-python"
tools: ["pinecone-io-examples", "redis-redis-vl-python"]
---

# examples vs redis-vl-python

*GraphCanon updated Aug 23, 2026*

## Verdict

Pick examples if examples, powered by Pinecone vector databases, offers interactive Jupyter Notebooks to aid users in experimenting with semantic search tasks through hands-on guidance; pick redis-vl-python if redisVL is a Python library designed for seamless integration of Redis as an AI-native vector database. It stands out with its specialized support for large language models and embedding management.

[examples](https://docs.pinecone.io) reports 3.0k GitHub stars, 1.1k forks, and 61 open issues, last pushed Aug 14, 2026. [redis-vl-python](https://docs.redisvl.com) has 424 stars, 95 forks, and 50 open issues, last pushed Aug 20, 2026. Figures are from public GitHub metadata via [examples's repository](https://github.com/pinecone-io/examples) and [redis-vl-python's repository](https://github.com/redis/redis-vl-python).

| | [examples](/tools/pinecone-io-examples.md) | [redis-vl-python](/tools/redis-redis-vl-python.md) |
| --- | --- | --- |
| Tagline | Jupyter Notebooks to help you get hands-on with Pinecone vector databases | Redis Vector Library (RedisVL) -- the AI-native Python client for Redis. |
| Stars | 3,036 | 424 |
| Forks | 1,073 | 95 |
| Open issues | 61 | 50 |
| Language | Jupyter Notebook | Python |
| Adopt for | Examples, powered by Pinecone vector databases, offers interactive Jupyter Notebooks to aid users in experimenting with semantic search tasks through hands-on guidance. | RedisVL is a Python library designed for seamless integration of Redis as an AI-native vector database. It stands out with its specialized support for large language models and embedding management. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Licensed under the permissive MIT License, allowing for free use in both commercial and non-commercial projects with no warranty. |
| Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [examples](/tools/pinecone-io-examples.md) | [redis-vl-python](/tools/redis-redis-vl-python.md) |
| --- | --- | --- |
| Days since push | 0d | 3d |
| Open issues (now) | 61 | 50 |
| Open issues delta | -3 (30d) | +2 (30d) |
| Full report | [trust report](/tools/pinecone-io-examples/trust.md) | [trust report](/tools/redis-redis-vl-python/trust.md) |

## Decision facts: examples

- **Adopt for:** Examples, powered by Pinecone vector databases, offers interactive Jupyter Notebooks to aid users in experimenting with semantic search tasks through hands-on guidance.

## Decision facts: redis-vl-python

- **Requirements:** Requires a Redis server to be installed and running.
- **Adopt for:** RedisVL is a Python library designed for seamless integration of Redis as an AI-native vector database. It stands out with its specialized support for large language models and embedding management.
- **License detail:** Licensed under the permissive MIT License, allowing for free use in both commercial and non-commercial projects with no warranty.

## Choose when

### Choose examples if…

- examples is primarily Jupyter Notebook; redis-vl-python is Python.
- Tags unique to examples: ai, jupyter-notebook, llm, semantic-search.
- When you need specific examples and walkthroughs for working with Pinecone's vector database technology using interactive Jupyter Notebooks.

### Choose redis-vl-python if…

- redis-vl-python is primarily Python; examples is Jupyter Notebook.
- Requirements: Requires a Redis server to be installed and running..
- Tags unique to redis-vl-python: embedding, huggingface, large language models, llmcache.
- When you need to integrate your application with Redis as a vector database using the Python programming language.

## When NOT to use examples

- Avoid if you're looking for generic tools applicable to a wide range of vector databases; this repository focuses exclusively on Pinecone.
- Not ideal if you prefer starting with theoretical understanding before practical application; the provided guidance is geared toward immediate experimentation in Google Colab.

## When NOT to use redis-vl-python

- If your project does not require integration with Redis or Python is not an option for implementation.
- For applications needing only basic key-value storage, as RedisVL introduces additional overhead with its specialized AI-native features.
- When you are looking for a simpler vector database that doesn't support intricate embedding management and large language model integrations.
- If your project requires a solution that does not carry the MIT license, implying an unwillingness or inability to handle open-source licensing conditions.

## Common questions

### What is the difference between examples and redis-vl-python?

examples: Jupyter Notebooks to help you get hands-on with Pinecone vector databases. redis-vl-python: Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.. See the comparison table for live GitHub stats and shared categories.

### When should I choose examples over redis-vl-python?

Choose examples over redis-vl-python when examples is primarily Jupyter Notebook; redis-vl-python is Python; Tags unique to examples: ai, jupyter-notebook, llm, semantic-search; When you need specific examples and walkthroughs for working with Pinecone's vector database technology using interactive Jupyter Notebooks.

### When should I choose redis-vl-python over examples?

Choose redis-vl-python over examples when redis-vl-python is primarily Python; examples is Jupyter Notebook; Requirements: Requires a Redis server to be installed and running.; Tags unique to redis-vl-python: embedding, huggingface, large language models, llmcache; When you need to integrate your application with Redis as a vector database using the Python programming language.

### When should I avoid examples?

Avoid if you're looking for generic tools applicable to a wide range of vector databases; this repository focuses exclusively on Pinecone. Not ideal if you prefer starting with theoretical understanding before practical application; the provided guidance is geared toward immediate experimentation in Google Colab.

### When should I avoid redis-vl-python?

If your project does not require integration with Redis or Python is not an option for implementation. For applications needing only basic key-value storage, as RedisVL introduces additional overhead with its specialized AI-native features. When you are looking for a simpler vector database that doesn't support intricate embedding management and large language model integrations. If your project requires a solution that does not carry the MIT license, implying an unwillingness or inability to handle open-source licensing conditions.

### Is examples or redis-vl-python more popular on GitHub?

examples has more GitHub stars (3,036 vs 424). Stars measure visibility, not whether either tool fits your constraints.

### Are examples and redis-vl-python open source?

Yes - both are open-source projects on GitHub (examples: MIT, redis-vl-python: MIT).

### Where can I find alternatives to examples or redis-vl-python?

GraphCanon lists graph-backed alternatives at [examples alternatives](/tools/pinecone-io-examples/alternatives) and [redis-vl-python alternatives](/tools/redis-redis-vl-python/alternatives) ([examples markdown twin](/tools/pinecone-io-examples/alternatives.md), [redis-vl-python markdown twin](/tools/redis-redis-vl-python/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/pinecone-io-examples-vs-redis-redis-vl-python.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, examples or redis-vl-python?

examples: Very active. redis-vl-python: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for examples and redis-vl-python?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [examples trust report](/tools/pinecone-io-examples/trust); [redis-vl-python trust report](/tools/redis-redis-vl-python/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=pinecone-io-examples`](/api/graphcanon/graph?tool=pinecone-io-examples)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_