vector-database-embedding

There are 17 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:TypeScript9.2k42285326
  • 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:TypeScript1.8k2694285
  • vectordb

    jina-ai/vectordb

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

    Language:Python598112147

  • agamm/semantic-split

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

    Language:Python94349

  • msoedov/vector_lake

    S3 vector database for LLM Agents and RAG.

    Language:Python36224

  • itsPreto/VECTR8

    Embed anything.

    Language:JavaScript29274

  • 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:Python123116

  • jankovicsandras/ml

    Machine Learning, LLM and other Jupyter Notebooks and resources

    Language:Jupyter Notebook2200

  • 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

  • johancodes/internal-gpt-proofofconcept-1

    Create a ChatGPT-like experience with your data.

    Language:Jupyter Notebook110

  • 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

  • rahatmoktadir03/codebase-repo-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 Notebook00

  • shing100/embeddingStoreManager

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

    Language:Java0100

  • codeasarjun/vector_store

    An easy way to understand vector store working and creation.

    Language:Jupyter Notebook10

  • 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 Notebook