Movatterモバイル変換


[0]ホーム

URL:


Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings
#

vector-database-embedding

Here are 22 public repositories matching this topic...

orama

🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.

  • UpdatedJul 12, 2025
  • TypeScript
vector-admin

The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.

  • UpdatedApr 15, 2025
  • TypeScript
vectordb

A Python vector database you just need - no more, no less.

  • UpdatedMar 4, 2024
  • Python

A Python library to chunk/group your texts based on semantic similarity.

  • UpdatedJul 11, 2024
  • Python

S3 vector database for LLM Agents and RAG.

  • UpdatedAug 15, 2023
  • Python

Examples of vector DB indexing and query with various vector databases.

  • UpdatedFeb 12, 2025
  • Python
mira

MIRA is a little brain-in-a-box. It is able to recognize its own shortcomings and adapt over time to preempt them. It learns facts from conversation during a daily consolidation task and surfaces them nautrally in conversation. This repository includes supporting files that allow you to zero-shot new tools for MIRA. Works 100% well offline too.

  • UpdatedJul 12, 2025
  • Python

Scalable API extension for advanced vector database functions. Enhance machine learning, search, and analytics applications with an API that supports efficient embedding storage and similarity searches.

  • UpdatedAug 20, 2024
  • TypeScript

Complete pipeline for generating DBpedia text embeddings using OpenAI's embedding models and publishing them as Hugging Face datasets.

  • UpdatedJul 11, 2025
  • Python

Experimenting with Pinecone as vector data continues to take center stage in AI-native systems. The purpose of this project is to explore the core capabilities, benchmark performance across different embedding models, and better understand what is possible with vector search in production environments.

  • UpdatedJun 30, 2025
  • Python

Create a ChatGPT-like experience with your data.

  • UpdatedJul 4, 2023
  • Jupyter Notebook
ToucanDB

A web app that uses Retrieval-Augmented Generation (RAG) to create an AI expert over a codebase. The app allows users to interact with a codebase via chat, retrieving relevant code snippets from a Pinecone vector database and generating responses using LLMs.

  • UpdatedDec 7, 2024
  • Jupyter Notebook

This repository contains source code which encompasses usage of the Langchain framework to extract information from distinct types of documents and subsequently perform Retrieval Augmented Generation(RAG) on these documents as well.

  • UpdatedNov 26, 2024
  • Jupyter Notebook

End-to-End Research Bot for Summarizing and Extracting Insights from Multiple URLs using advanced text processing, FAISS vector storage, and OpenAI services for accurate and concise responses.

  • UpdatedFeb 7, 2025
  • Jupyter Notebook

임베딩(vector) 스토어를 위한 캐시 매니저

  • UpdatedFeb 5, 2024
  • Java

Improve this page

Add a description, image, and links to thevector-database-embedding topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with thevector-database-embedding topic, visit your repo's landing page and select "manage topics."

Learn more


[8]ページ先頭

©2009-2025 Movatter.jp