vector-database-embedding

There are 25 repositories under vector-database-embedding topic.

  • orama

    oramasearch/orama

    ๐ŸŒŒ 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.

    Language:TypeScript9.8k45304359
  • vector-admin

    Mintplex-Labs/vector-admin

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

    Language:TypeScript2k2896323
  • vectordb

    jina-ai/vectordb

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

    Language:Python631112149
  • agamm/semantic-split

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

    Language:Python96349
  • msoedov/vector_lake

    S3 vector database for LLM Agents and RAG.

    Language:Python48224
  • itsPreto/VECTR8

    Embed anything.

    Language:JavaScript28274
  • serp-ai/V3CTRON-vector-database-embedding-neural-search-retrieval-chatgpt-plugin

    V3CTRON | Vector Embeddings Data Retrieval | ChatGPT Plugin

    Language:Python22308
  • dblock/vectordb-hello-world

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

    Language:Python133116
  • ZeusDB/zeusdb

    High-performance database management system

    Language:Python8
  • jankovicsandras/ml

    Machine Learning, LLM and other Jupyter Notebooks and resources

    Language:Jupyter Notebook3200
  • lahcenkh/rag-network-docs

    Privacy-focused RAG chatbot for network documentation. Chat with your PDFs locally using Ollama, Chroma & LangChain. CPU-only, fully offline.

    Language:Python3
  • arisrayelyan/embed-pg

    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.

    Language:TypeScript1100
  • harehimself/pinecone-lab

    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.

    Language:Python110
  • johancodes/internal-gpt-proofofconcept-1

    Create a ChatGPT-like experience with your data.

    Language:Jupyter Notebook110
  • redis-performance/vector-embeddings

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

    Language:Python1
  • ToucanDB

    ToucanDB/ToucanDB

    ToucanDB is a brand-new micro ML-first database engine ๐Ÿฆœ

    Language:Python10
  • 0xnu/rag-s3-vectors

    S3 Vectors RAG System with Shakespearean Content.

    Language:Python00
  • fosetorico/article_research_bot

    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.

    Language:Jupyter Notebook0100
  • mcagri/FeatureStore

    Feature Store implementation for storing product information and text/visual embeddings for further use in datascience projects.

    Language:Jupyter Notebook0100
  • shing100/embeddingStoreManager

    ์ž„๋ฒ ๋”ฉ(vector) ์Šคํ† ์–ด๋ฅผ ์œ„ํ•œ ์บ์‹œ ๋งค๋‹ˆ์ €

    Language:Java0100
  • Arjunheregeek/AimersVoice-The-Intelligent-Voice-of-Education

    AI Voice Assistant with RAG | LiveKit + LLaMA Index | Intelligent document retrieval for coaching conversations

    Language:Python
  • codeasarjun/vector_store

    An easy way to understand vector store working and creation.

    Language:Jupyter Notebook10
  • nathadriele/credit-decision-LLM-RAG-platform

    The Credit Decision LLM RAG Platform is an enterprise-grade solution that automates and enhances credit decision-making processes using cutting-edge AI technology. Built with modern architecture principles, it provides intelligent risk assessment, automated decision-making, and comprehensive audit trails for financial institutions.

    Language:TypeScript
  • rahatmoktadir03/codebase-rag-sage

    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.

    Language:Jupyter Notebook
  • SayamAlt/Langchain-for-Information-Retrieval-RAG

    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.

    Language:Jupyter Notebook10