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.
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Nov 12, 2026 - C
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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.
redis open-source caching distributed-systems json real-time database time-series nosql key-value cache realtime message-queue in-memory no-sql in-memory-database message-broker key-value-store vector-search vector-databases
The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.
mysql python sql full-text-search embedded-database ai-agents copy-on-write rag hnsw oceanbase hybrid-search langchain llamaindex vector-databases
SochDB is a high-performance embedded, ACID-compliant vector database purpose-built for AI agents and memory
database knowledge embeddings knowledge-graph knowledge-graphs-embeddings toon ai-agents knowledge-graph-embeddings vector-database llm llms vector-databases ai-agents-memory ai-agents-mcp llm-databases vector-database-python
High-performance late-interaction retrieval engine for on-prem AI. ColBERT/ColPali multi-vector search with Rust fused MaxSim, Triton GPU kernels, ROQ quantization, LEMUR routing, WAL-backed CRUD, and a FastAPI server — single machine, CPU or GPU.
semantic-search-engine on-premise colbert-ai multivector quantizations retrieval-augmented-generation vector-databases rag-pipeline multimodal-rag colpali triton-kernels late-interaction multivector-search multivector-embeddings
High-performance database management system
cosine-similarity ann approximate-nearest-neighbor-search cloud-database rag hnsw vector-database approximate-nearest-neighbor vector-database-embedding retrieval-augmented-generation vector-databases zeusdb vector-database-platform
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.
machine-learning natural-language-processing learning-journey ai-education large-language-models llms langchain vector-databases activeloop-course practical-projects
Leverage vector databases to swiftly construct a diverse range of applications through "Building Applications with Vector Databases" course!
recommendation-system recommender-system semantic-search anomaly-detection pinecone deeplearning-ai facial-similarity rag application-development multimodal-search hybrid-system large-language-models retrieval-augmented-generation vector-databases
Projects Implemented for the Udacity Generative AI Engineer Nanodegree Program
sam pytorch udacity-nanodegree semantic-search image-inpainting rag huggingface custom-chatbot foundation-models large-language-models stable-diffusion llms generative-ai segment-anything-model retrieval-augmented-generation lancedb fine-tuning-llm vector-databases ai-photo-editing personalized-ai
Hands-on Spring AI tutorial, themed as a World Cup 2026 fan assistant: 16 modules from chat clients to RAG, guardrails, and evaluation.
embeddings ai-observability llm llm-tools vector-databases llm-evaluation llm-agents spring-ai rag-chatbot tool-calling spring-ai-gemini mcp-servers mcp-clients
RAGKNO — A production-grade RAG system with semantic reranking, hybrid retrieval, multi-source ingestion (Google Drive, PDF, URL), persistent multi-session memory, and source-cited answers. Built with FastAPI, FAISS, and Google Generative AI.
Zero-trust multi-tenant semantic memory for Google ADK, enforced in PostgreSQL with pgvector and Row-Level Security.
python portfolio multi-tenant postgresql cybersecurity cyber-security gemma leak-detection ai-agents row-level-security red-teaming ai-security multi-tenant-infrastructure pgvector vector-databases llm-evaluation agent-memory google-adk adk-google google-adk-framework
Production .NET SDK for Alibaba ZVec — DI, typed ODM, async, SafeHandles, full indexes/FTS, and mobile RIDs. Not a thin P/Invoke wrapper.
dotnet embeddings dotnet-core semantic-search maui rag hnsw edge-ai local-first vector-database vector-databases semantic-search-ai microsoft-extensions-ai edge-ai-optmizer hnsw-index edge-ai-privacy-first local-first-ai
The most comprehensive collection of AI tools, frameworks, and resources for developers. 110+ verified open-source projects across 16 categories.
documentation machine-learning ai mkdocs artificial-intelligence developer-tools rag developer-resources ai-tools foundation-models ai-development llm generative-ai langchain vector-databases agentic-ai
Air-gapped, production-ready RAG workspace featuring hybrid search, semantic reranking, cross-encoder reranking, and verifiable citations.
python production-ready semantic-search bm25 explainable-ai faiss privacy-first rag streamlit sentence-transformers hybrid-search cross-encoder local-llm retrieval-augmented-generation ollama vector-databases offline-ai phi3 pdf-question-answering
python nlp machine-learning deep-learning reproducible-research scikit-learn pytorch data-engineering feature-engineering semantic-search model-evaluation production-ml ml-pipelines ai-engineering ml-systems retrieval-augmented-generation vector-databases rag-systems llm-systems end-to-end-ml
📱 Automate posting on Xiaohongshu with multi-account support, headless mode, auto tag writing, and image handling for efficient content publishing.
javascript language redis json gui interpreter native book node-red cache red message-queue vector-search openjs-foundation vector-databases
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.
machine-learning typescript ai embedding-models gemini-api rag non-supervised-learning vector-search embedding-vectors similarity-searches large-language-models llm generative-ai pgvector google-generative-ai vector-databases gemini-pro retrival-augmented
A repository containing all internship assignments completed as part of the FlyRank AI Fluency and Backend AI Internship Programs, covering AI fundamentals, AI tools, backend development, and practical AI engineering tasks.
nodejs python docker rest-api postgresql artificial-intelligence faiss rag fastapi ai-engineering llm generative-ai langchain-python vector-databases langgraph-python
🚀 The Definitive Field Manual for AI Engineering. 12 chapters covering RAG, Agents, MCP, Evals, and Token Economics. 50+ proven patterns for shipping mission-critical LLM products. Vendor-agnostic, senior-level documentation for the 2026 AI tech stack.
python open-source machine-learning mcp ai-agents rag architecture-patterns field-manual ai-engineering prompt-engineering llms generative-ai enterprise-ai vector-databases llm-ops
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.
distributed-systems microservices semantic-search python-asyncio multi-agent-systems enterprise-architecture fastapi production-monitoring vector-databases ai-orchestration
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