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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
RAG-VectorDB-Embedings-LlamaIndex-Langchain
| Date | Stars |
|---|---|
| 2026-07-31 | 284 |
| 2026-08-01 | 284 |
| 2026-08-06 | 284 |
Today
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Momentum
0.0
growth rate 0.00%/day
# Awesome-RAG > For discussions and doubt-solving: Join Our Community <a href="https://discord.gg/hEMqtDXCHA"> <img src="https://discord.com/api/guilds/939520548726272010/widget.png?style=banner1"></a> ## Notebooks | UseCase | Frameworks/Library | Colab | |----------|:-------------:|------:| | Build RAG pipeline using Open Source Large Languages Models | Langchain & HuggingFace | [](https://colab.research.google.com/drive/1cW01yqNxKqYHpU7uvi5UfUsNnbfxVw7R?usp=sharing) | | Memory + LCEL (Langchain Expression Language) | Langchain & HuggingFace | [](https://colab.research.google.com/drive/1qkRs-ZLmc8ooxPJ3rgxp8IskEBpAkBp5?usp=sharing) | | LlamaIndex Quickstart Tutorial | LLamaIndex, Qdrant & HuggingFace | [](https://colab.research.google.com/drive/192aAkGqx9CkCX9pdr-YqRTojaU1yXTjs?usp=sharing) | | Chat with Website | GenAI Stack (deprecated) | [](https://colab.research.google.com/drive/1jVgLv4cuWnN4F4TPHSOW6U0pew9AfSww?usp=sharing) | | Multi-Document Fast RAG- Binary Quantization | LangGraph & Qdrant | [](https://colab.research.google.com/drive/1heeIOY_yzisnkXRYqS3MNhUq8RpibDcy?usp=sharing) | | ChatBot like ChatGPT for multiple websites | Langchain | [](https://colab.research.google.com/drive/1hKkF2ut1EqlV7e9PEp7UxdI-AQnMDrpz?usp=sharing) | | Advanced: Hybrid Search - miniCOIL | LangGraph, Qdrant and Comet | [](https://colab.research.google.com/drive/1bWmNEHPu7vpleKtXt5jLMceLu5_tNWf3?usp=sharing) | | Observability and RAG 10 lines of Code | BeyondLLM | [](https://colab.research.google.com/drive/16dOWfx-rQpBCMhFe9iGZMeIUFSMe6Wfr?usp=sharing) | | Evaluate and Advanced RAG | BeyondLLM & Gemini | [](https://colab.research.google.com/drive/1S1UL2uCahHkfJsurRA3f7dcR6IHjg-IM?usp=sharing) | | Mobile Recommendation System | Embedchain | [](https://colab.research.google.com/drive/1PSZKLupj2YhhaCceGiFOzYZIkwZqjCMr?usp=sharing) | | Advanced RAG - Patent Document Retriever+ReRanking (LCEL) | Langchain & HuggingFace & Cohere | [](https://colab.research.google.com/drive/1e7NlkmuHTu0xa34APXUhPRMMkxCWPYDD?usp=sharing) | | Chat with Scanned PDF (Hybrid Search) | Langchain & Unstructured | [](https://colab.research.google.com/drive/1gzLAGdjEaKfWUzXwnP-1MhDihq7VK8hM?usp=sharing) | | Get started with LlamaIndex | LlamaIndex & HuggingFace | [](https://colab.research.google.com/drive/1rpgek5Z3aH5-nnFUKTofEQzD1Axa7a0j?usp=sharing) | | Hybrid Search - Custom Retriever | LlamaIndex | [](https://colab.research.google.com/drive/1Tk9tvX-MbSjiPqfdUakY0tfeGFM8BTG3?usp=sharing) | | Multimodal Example - Gemini | LlamaIndex | [](https://colab.research.google.com/drive/1ulIdOnM4WWj1dtbyvz2RFGUz10ULWbFn?usp=sharing) | | Qdrant as a Vector Store | Langchain | [](https://colab.research.google.com/drive/1y09JScY54PzbuNjJjHbz9Q5xbs1iEymL?usp=sharing) | | Multimodal RAG | LLa
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c504809c3080066c, llm:README: 'Awesome-RAG'; description: 'RAG-VectorDB-Embedings-LlamaIndex-Langchain'; notebooks for building RAG pipelines, LlamaIndex, Langchain, Qdrant, vector DBs, embeddings, hybrid search.
matched fp:c504809c3080066c, llm:README: 'Awesome-RAG'; description: 'RAG-VectorDB-Embedings-LlamaIndex-Langchain'; notebooks for building RAG pipelines, LlamaIndex, Langchain, Qdrant, vector DBs, embeddings, hybrid search.
matched fp:c504809c3080066c, llm:README: 'Awesome-RAG'; description: 'RAG-VectorDB-Embedings-LlamaIndex-Langchain'; notebooks for building RAG pipelines, LlamaIndex, Langchain, Qdrant, vector DBs, embeddings, hybrid search.
matched fp:c504809c3080066c, llm:README: 'Awesome-RAG'; description: 'RAG-VectorDB-Embedings-LlamaIndex-Langchain'; notebooks for building RAG pipelines, LlamaIndex, Langchain, Qdrant, vector DBs, embeddings, hybrid search.