vector-databases

There are 2 repositories under vector-databases topic.

redis / redis
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
cache caching database distributed-systems in-memory in-memory-database json key-value key-value-store message-broker message-queue no-sql nosql open-source real-time realtime redis time-series vector-databases vector-search
Language:C 71653
XiaomingX / awesome-vector-database
A curated list of resources, tools, tutorials, and libraries for exploring and utilizing vector databases. This repository aims to provide comprehensive insights into the use of vector databases for efficient data retrieval, similarity search, and machine learning applications.
data-retrieval information-retrieval machine-learning similarity-search vector-databases
18
ZeusDB / zeusdb
High-performance database management system
cloud-database vector-database vector-database-embedding vector-databases vector-database-platform zeusdb ann approximate-nearest-neighbor approximate-nearest-neighbor-search cosine-similarity hnsw rag retrieval-augmented-generation
Language:Python 8
djpapzin / LangChain-VectorDB-Learning
This repository is dedicated to my learning journey through the LangChain & Vector Databases in Production course offered by Activeloop. The course is part of the Gen AI 360 Foundational Model Certification and focuses on mastering Large Language Models (LLMs) and Vector Databases.
ai-education langchain large-language-models learning-journey llms machine-learning natural-language-processing activeloop-course practical-projects vector-databases
Language:Python 7
ksm26 / Building-Applications-with-Vector-Databases
Leverage vector databases to swiftly construct a diverse range of applications through "Building Applications with Vector Databases" course!
anomaly-detection application-development deeplearning-ai facial-similarity hybrid-system large-language-models multimodal-search pinecone rag recommendation-system recommender-system retrieval-augmented-generation semantic-search vector-databases
Language:Jupyter Notebook 7
PraveenKumar-Rajendran / Udacity-Generative-AI-Engineer-Nanodegree
Projects Implemented for the Udacity Generative AI Engineer Nanodegree Program
custom-chatbot fine-tuning-llm foundation-models generative-ai huggingface image-inpainting lancedb large-language-models llms pytorch rag retrieval-augmented-generation sam segment-anything-model semantic-search stable-diffusion udacity-nanodegree vector-databases ai-photo-editing personalized-ai
6
olasunkanmi-SE / IntelliSearch
IntelliSearch is an advanced retrieval-based question-answering and recommendation system that leverages embeddings and a large language model (LLM) to provide accurate and relevant information to users.
ai embedding-models embedding-vectors gemini-api gemini-pro generative-ai google-generative-ai large-language-models llm machine-learning non-supervised-learning pgvector rag retrival-augmented similarity-searches typescript vector-databases vector-search
Language:TypeScript 4
fenilsonani / ai-arch-system
Production-ready enterprise multi-agent AI orchestration platform with distributed memory architecture, intelligent task routing, semantic search, and comprehensive monitoring using modern software architecture patterns.
ai-orchestration distributed-systems enterprise-architecture fastapi microservices multi-agent-systems production-monitoring python-asyncio semantic-search vector-databases
Language:Python 2
neomatrix369 / AIE7-Cert-Challenge
AIE7: Certification Challenge
gpt-4 langchain langgraph openai rag retrieval-augmented-generation vector-database federal-student-loans customer-service agentic-ai multi-agent-systems qdrant vector-databases ragas rag-evaluation hybrid-dataset fastapi python ai-assistant semantic-search
Language:Jupyter Notebook 2
bibekgupta3333 / langchain-practical-guide
A comprehensive, hands-on tutorial repository for learning and mastering LangChain - the powerful framework for building applications with Large Language Models (LLMs). This codebase provides a structured learning path with practical examples covering everything from basic chat models to advanced AI agents, organized in a progressive curriculum.
llm-application-development prompt-engineering vector-databases ai-agents-and-tools conversational-ai-systems retrieval-augmented-generation-rag
Language:Python 1
KaineRecycler / Reverse-Image-Search-Engine
Reverse image search engine with the use of vector databases and keyword search and upload image
reverse-image-search vector-databases vector-search
Language:TypeScript 1
Akash-47-tank / LegalRAG-AI-Powered-Legal-Document-Assistant
Transform your legal document review from days to minutes with LegalRAG. Our AI assistant understands complex legal questions, searches thousands of documents with semantic precision, and delivers professional answers with source citations. Experience faster case prep and thorough due diligence.
llm rag-architecture semantic-search vector-databases ector-embeddings optimizing-chunking-strategies
Language:Python
choudaryhussainali / Langchain_Learnings
"My complete LangChain learning journey — from basics to advanced RAG, LCEL, LangGraph, LangServe, LangSmith with hands-on code examples."
embeddings langchain langgraph langserve langsmith lcel prompt-engineering rag vector-databases agents ai-reasoning chains document-chunking generative-ai memory-in-ai ragpipeline retrieval-systems llms-integration
Language:Jupyter Notebook
LSSandes / dicom-viewer-image-analysis
Comprehensive medical imaging management system with a DICOM viewer, HU conversion, 28 image filters, and dual database architecture (Qdrant + SQLite). Supports radiology report generation, patient data management, and vector similarity search.
pydicom dicom-viewer healthcare image-analysis medical-imaging opencv-python pyqt5-gui qdrant radiology sqlite3 vector-databases
Language:Python
Wcoder547 / Generative-AI
Learn to build powerful Generative AI applications in this hands-on 2025 course using Node.js, TypeScript, and OpenAI APIs (ChatGPT, DALL·E, Whisper). Explore real-world projects with LangChain, Express.js, REST APIs, Vector Databases, and intelligent AI Agents from setup to deployment.
ai-agents generative-ai langchain mern-stack openai real-world-projects vector-databases 2025-course
Language:TypeScript

vector-databases

redis / redis

XiaomingX / awesome-vector-database

ZeusDB / zeusdb

djpapzin / LangChain-VectorDB-Learning

ksm26 / Building-Applications-with-Vector-Databases

PraveenKumar-Rajendran / Udacity-Generative-AI-Engineer-Nanodegree

olasunkanmi-SE / IntelliSearch

fenilsonani / ai-arch-system

neomatrix369 / AIE7-Cert-Challenge

bibekgupta3333 / langchain-practical-guide

KaineRecycler / Reverse-Image-Search-Engine

Akash-47-tank / LegalRAG-AI-Powered-Legal-Document-Assistant

choudaryhussainali / Langchain_Learnings

LSSandes / dicom-viewer-image-analysis

Wcoder547 / Generative-AI