Multilingual Semantic Search with Reranking on a prepared large vectorized dataset comprising 10 million Wikipedia documents. It supports dense retrieval, keyword search, and hybrid search.
MIT License
A fast, efficient universal vector embedding utility package.
Conference talk: from zero to your first LLM application
Notebooks & Example Apps for Search & AI Applications with Elasticsearch
Document Search Engine project with TF-IDF abd Google universal sentence encoder model
A semantic local search engine powered by AI models.
This repository recorded my NLP journey.
Implementation of a search engine using TF-IDF and Word Embedding-based vectorization techniques ...
Topic Modelling for Humans
Retrieval and Retrieval-augmented LLMs
Question and Answer based on Anything.
Netease Youdao's open-source embedding and reranker models for RAG products.
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language ...