Enhancing Medical Question-Answering System through Advanced Retrieval Strategies and Integration of LLaMA 3
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Updated
May 9, 2024 - Jupyter Notebook
Enhancing Medical Question-Answering System through Advanced Retrieval Strategies and Integration of LLaMA 3
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
Apache Lucene open-source search software
Resources for machine learning related publications
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Official Code of "STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases"
MTEB: Massive Text Embedding Benchmark
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
[ICCV 2023] - Composed Image Retrieval on Common Objects in context (CIRCO) dataset
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Retrieval and Retrieval-augmented LLMs
Cloud-native vector similarity search and storage with efficient, serverless scale-out
Cleans, parses, and compares semantic versions, providing essential insights into versioning, stability, and compatibility, making software release management a breeze!
Text Embedding for Retrieval, Rerank and RAG
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.
Apache Solr open-source search software
TasteRank: Personalized Image Search and Recommendation. This research project proposes an AI-based method for scoring photos on relevance to user interests. TasteRank leverages language and vision models, including Mistral LLMs and OpenAI’s CLIP, and applies multimodal machine-learning techniques.
cuVS - a library for vector search and clustering on the GPU
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