{"repo":"vortezwohl/Bhakti","free":true,"listed":false,"github":"https://github.com/vortezwohl/Bhakti","clone":"git clone https://github.com/vortezwohl/Bhakti.git","description":"An easy-to-use vector database.","language":"Python","stars":38,"topics":["vector","vector-database","rag","sematic-search"],"license":"GPL-3.0","category":"databases-storage","readme_excerpt":"Powered by Dipamkara Abstract With the rapid development of big data and artificial intelligence technologies, the demand for effective processing and retrieval of vector data is growing. Against this backdrop, I have developed the Bhakti vector database, aiming to provide a lightweight and easy-to-deploy solution to meet the storage and semantic search needs of small and medium-sized datasets. Bhakti supports a variety of similarity calculation methods and a domain-specific language (DSL) for document-based pattern matching pre-filtering, facilitating migration of data with its portable data files, flexible data management and seamless integration with Python3. Furthermore, I propose a memory-enhanced large language model dialogue solution based on the Bhakti database, which can assign different weights to the question and answer in dialogue history, achieving fine-grained control over the semantic importance of each segment in a single dialogue history. Through experimental validation, my method shows significant performance in the application of semantic search and question-answering systems. Although there are limitations in processing large datasets, such as not supporting approximate calculation methods like HNSW, the lightweight nature of Bhakti gives it a clear advantage in scenarios involving small and medium-sized datasets. Citation If you are incorporating Bhakti into your research, please remember to properly cite it to acknowledge its contribution to your work. 如","default_branch":null,"files":null,"tree":[],"storefront":"/r/vortezwohl","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/vortezwohl/Bhakti/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}