# build-on-aws/llm-rag-vectordb-python

<https://repo.masters-masters.com/en/repos/build-on-aws/llm-rag-vectordb-python>

[Home](https://repo.masters-masters.com/en) › [build-on-aws](https://repo.masters-masters.com/en/owners/build-on-aws) › [llm-rag-vectordb-python](https://repo.masters-masters.com/en/repos/build-on-aws/llm-rag-vectordb-python)

build-on-aws/llm-rag-vectordb-python has 157 stars on GitHub. Its RepoMasters card: Prototype tier. Explore sample applications and tutorials demonstrating…

| Field | Value |
| --- | --- |
| Owner | [build-on-aws](https://repo.masters-masters.com/en/owners/build-on-aws) |
| Stars | 157 |
| Forks | 32 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT-0 |
| Created | 2023 |
| Topics | amazon-bedrock, langchain-python, llms, node-js, python3, rag |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [build-on-aws/llm-rag-vectordb-python](https://github.com/build-on-aws/llm-rag-vectordb-python) |

## Repository

Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databases, use RAG techniques, and showcase experiments with langchain and streamlit.

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.
