Examples of RAG using Llamaindex with local LLMs - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B - marklysze/LlamaIndex-RAG-WSL-CUDA
Interestingly, it's the only model that wasn't 100% convinced that Thundertooth was the protagonist, though it did decide to go with them. Reading the context LlamaIndex provided, I think Thundertooth would be the protagonist. On a separate note, LlamaIndex retrieves the section on the chil...
AMD Radeon™ GPUs are officially supported by ROCm, ensuring compatibility with industry-standard software frameworks. This Jupyter notebook leverages Ollama and LlamaIndex, powered by ROCm, to build a Retrieval-Augmented Generation (RAG) application. LlamaIndex facilitates the creation of a pipeline...
In this post, we explore how to harness the power ofLlamaIndex,Llama 2-70B-Chat, andLangChainto build powerful Q&A applications. With these state-of-the-art technologies, you can ingest text corpora, index critical knowledge, and generate text that answers users...
AI Toolkit extension for VS code now supports external local models via Ollama. It has also added support remote hosted models using API keys for OpenAI,...
Integration with SQL and Chroma DB vector databases Description This course begins by introducing foundational concepts of Large Language Models (LLMs) and their applications, focusing on LlamaIndex. You'll set up your development environment and create your first LlamaIndex program, covering essential...
Quickstart Guide to RAG Application Using LangChain and LlamaIndex In this tutorial, explore the capabilities of LangChain, LlamaIndex, and PyMongo with step-by-step instructions to use their methods for effective sea…
So you need both when using MongoDB as a vector store with LlamaIndex. 1 vs_model = SearchIndexModel( 2 definition={ 3 "fields": [ 4 { 5 "type": "vector", 6 "path": "embedding", 7 "numDimensions": 1536, 8 "similarity": "cosine", 9 }, 10 {"type": "filter", "path": ...
LlamaIndex is an impressive data framework designed to support the development of applications utilizing LLMs (Large Language Models). It offers a wide range of essential tools that simplify tasks such as data ingestion, organization, retrieval, and integration with different application frameworks. The...
LlamaIndex is an advanced AI framework that is designed to enhance the capabilities of large language models (LLMs) by facilitating seamless integration with diverse data sources. It supports the retrieval of data from over 160 different formats, including APIs, PDFs, and SQL databases, making it...