vector-db

There are 44 repositories under vector-db topic.

  • HelixDB/helix-db

    HelixDB is an open-source graph-vector database built from scratch in Rust.

    Language:Rust3.1k19360147
  • nitaiaharoni1/vector-storage

    Vector Storage is a vector database that enables semantic similarity searches on text documents in the browser's local storage. It uses OpenAI embeddings to convert documents into vectors and allows searching for similar documents based on cosine similarity.

    Language:TypeScript2376941
  • l3vels/team-of-ai-agents

    Open-source framework to make AI agents' team collaboration as effective as human collaboration.

    Language:TypeScript2351014083
  • Dripfarm/SVDB

    Swift Vector Database. On-device, local vector database for building the next-generation of user experiences

    Language:Swift2135411
  • cgtuebingen/ggnn

    GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

    Language:Cuda166241427
  • mtwn105/decipher-research-agent

    Turn topics, links, and files into AI-generated research notebooks — summarize, explore, and ask anything.

    Language:TypeScript14133
  • youtube-gpt

    vdutts7/youtube-gpt

    YouTubeGPT • AI Chat with 100+ videos ft. YouTuber Marques Brownlee (@ MKBHD) ⚡️🔴🤖💬

    Language:TypeScript682017
  • rafaelpierre/moviegpt

    MovieGPT: A RAG, Gen AI application for Movie Recommendations

    Language:Jupyter Notebook37212
  • prrao87/lancedb-study

    Benchmark study on LanceDB, an embedded vector DB, for full-text search and vector search

    Language:Python28124
  • hkproj/retrieval-augmented-generation-notes

    Slides for "Retrieval Augmented Generation" video

    Language:Jupyter Notebook22302
  • Zipstack/unstract-adapters

    Unstract's interface to LLMs, Embeddings and VectorDBs.

    Language:Python18203
  • hpi-swa-lab/Squeak-SemanticText

    ChatGPT, embedding search, and retrieval-augmented generation for Squeak/Smalltalk

    Language:Smalltalk16842
  • mantrakp04/sheer

    A fully client-side chat application with AI capabilities running entirely in your browser. No servers, complete privacy, and persistent storage.

    Language:TypeScript12100
  • aws-samples/rag-with-amazon-bedrock-and-documentdb

    Question Answering Generative AI application with Large Language Models (LLMs), Amazon Bedrock, and Amazon DocumentDB (with MongoDB Compatibility)

    Language:Jupyter Notebook9201
  • habanoz/crawl-for-vector-db

    A web site crawler for semantic search.

    Language:Jupyter Notebook4100
  • yep-yogesh/Dhruva.AI

    Dhruva.ai - Your guiding star in the academic universe. A multilingual campus chatbot that answers student queries anytime, anywhere.

    Language:JavaScript4
  • raisultan/pac

    Automation of Prioritization and Categorization of Support Tickets Using LLMs and Vector DBs

    Language:Python3100
  • xtt28/quora_vector_search

    AI- & vector database-powered Quora question search

    Language:Python30
  • fndome/zxb

    Ziglang Extensiable Builder for SQL or JSON, zig version, sql or json query builder, extensible custom for any database, for any orm framework

    Language:Zig2
  • legobridge/retrieval-augmented-generation

    A proof-of-concept of retrieval-augmented generation, using Google's PaLM API.

    Language:Python2102
  • sourabhmarne777/rag-assistant-ollama

    A RAG assistant using Ollama (Mistral), Qdrant vector DB, and Streamlit UI. Upload documents, scrape web pages, and interact with your data using real-time, session-isolated chat.

    Language:Python21
  • dhavalCode/genius-ai

    GeniusAI: Personalized AI companions powered by Llama 2 13B model. Engage in diverse conversations, explore personas, and revolutionize learning interactively.

    Language:TypeScript1101
  • Junwu0615/RAG-With-LangChain-And-FAISS

    用 LangChain + FAISS 實作 RAG ( Gemini / ChatGPT / Breeze / LLama / Vector DB )

    Language:Jupyter Notebook1
  • kenokim/ai-interview

    LangGraph based full-stack Agentic AI interview application

    Language:TypeScript1
  • letsgomrinal/pinecone

    Pinecone Vector DB

    Language:Python1
  • longevitycoach/StrunzKnowledge

    This project aims to create a comprehensive, searchable knowledge base from the online articles and forum posts of Dr. Ulrich Strunz. The final application will be a Dockerized service that uses a Large Language Model (LLM) accessed via the Meta-Cognitive Prompting (MCP) protocol to provide users with intelligent access to this knowledge.

    Language:Python1
  • mrsahiljaiswal/adaptive-log-parser

    🚀 An intelligent, LLM-enhanced log parser pipeline that converts multi-format raw logs into structured JSON, learns from missed patterns, and evolves using Drain3 & open-source LLMs.

    Language:Python10
  • navneet83/multimodal-mountain-peak-search

    Identify mountain peaks in your photos using AI—zero-shot retrieval, landmark re-ranking, and geospatial priors.

    Language:Python1
  • oscarcitoz/agent-config

    Kotlin microservice for managing agents, configurations, and tools. Integrates with AI systems like OpenAI and Amazon Bedrock. Uses PostgreSQL and supports agent retrieval by ID or similarity (via Vector DB).

    Language:Kotlin1
  • rajesh1804/GroceryGPT

    A personalized AI product search engine using free-tier OpenRouter LLMs, MiniLM semantic search & Weaviate DB. https://medium.com/@rajesh1804/grocerygpt-how-i-built-a-personalized-grocery-search-engine-with-llms-vector-dbs-zero-cloud-fbacddf0feef

    Language:Python11
  • renuo/redmine_semantic_search

    Add semantic search capabilities to the Redmine Search Function.

    Language:Ruby1
  • support-rag-sandbox

    savinopicciotto/support-rag-sandbox

    RAG assistant over help center + macros. Answers 10 support questions with citations.

    Language:Python1
  • CHris4884/vector-db-from-scratch-in-browser

    🔍 Build a fully in-browser vector database with semantic search, powered by IndexedDB and HuggingFace, for fast, persistent storage and retrieval of embeddings.

    Language:TypeScript
  • Krispy145/flutter-ai-chat-rag

    Flutter RAG chat with streaming UI (Riverpod + GetIt), connects to Secure AI API.

    Language:Dart
  • qbxlvnf11/lancedb-rag

    Build & Test Lance DB for RAG Embedding Search

    Language:Python
  • THAMIZH-ARASU/FusionRAG

    An attempt to production-ready Retrieval-Augmented Generation (RAG) system with advanced features including hybrid retrieval, adaptive feedback loops, comprehensive evaluation, and explainable AI logging.

    Language:Python