Data ingestion pipeline using dlt to load data from a REST API into LanceDB.
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Updated
Jul 16, 2024 - Jupyter Notebook
Data ingestion pipeline using dlt to load data from a REST API into LanceDB.
Content Optimization code for Health Hub Articles
MTEB: Massive Text Embedding Benchmark
A Novel Encoder-Decoder Approach for Text-to-Face Conversion using Generative Adversarial Networks and Attention Mechanism
A RAG to deal with multiple documents simultaneously using Weaviate, Mistral-7B-v0.1 and Langchain.
Semantic search using elasticsearch and custom search methods with text and vector. Evaluate the search results with ground truth by the metrics recall, mrr.
Efficient Retrieval Augmentation and Generation Framework
This Streamlit application facilitates the matching of mentors and mentees based on their preferences and keywords. It provides various functionalities for initial matching, reassignment, best match finding, adding new mentees to existing groups, and visualizing the results.
Open Source Text Embedding Models with OpenAI Compatible API
Generates AI-driven responses using the Ollama API with the Phi3 mini model from Microsoft. Heavyweight implementation with memory for language generation, featuring remote RAG and Picone for persistent memory
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
Data pipelines for AI applications
A sentence-tokenizer based AI model for my portfolio
All-in-One: Text Embedding, Retrieval, Reranking and RAG
Forecasting the Adoption Process of Technology Using AI Methods
Naive RAG implementations using LangChain + llama-index + OpenAI + GradientAI + Sentence_Transformer + Nomic AI + FAISS and more
Example application for the task of fine-tuning pretrained machine translation models on highly domain-specific, self-extracted translated sentences
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