# cohere-ai/quick-start-connectors

<https://repo.masters-masters.com/en/repos/cohere-ai/quick-start-connectors>

[Home](https://repo.masters-masters.com/en) › [cohere-ai](https://repo.masters-masters.com/en/owners/cohere-ai) › [quick-start-connectors](https://repo.masters-masters.com/en/repos/cohere-ai/quick-start-connectors)

cohere-ai/quick-start-connectors has 154 stars on GitHub. Its RepoMasters card: Prototype tier. This open-source repository offers reference code for…

| Field | Value |
| --- | --- |
| Owner | [cohere-ai](https://repo.masters-masters.com/en/owners/cohere-ai) |
| Stars | 154 |
| Forks | 28 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | connectors, rag, generative-ai, llm |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [cohere-ai/quick-start-connectors](https://github.com/cohere-ai/quick-start-connectors) |

## Repository

This open-source repository offers reference code for integrating workplace datastores with Cohere's LLMs, enabling developers and businesses to perform seamless retrieval-augmented generation (RAG) on their own data.

Archived: this repository is read-only

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.