Search results for "vector-database"
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
RAG pipeline security testing toolkit - 27 techniques across 6 kill chain phases, mapped to MITRE ATLAS
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Website for the Weaviate vector database
Nornicdb is a low-latency, Graph + Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Uses Neo4j Bolt/Cypher and qdrant's gRPC drivers so you can switch with no changes. T
AI + Data, online. https://vespa.ai
A lightweight, embeddable vector database library for Go AI projects.
Data Infrastructure providing a declarative, incremental approach for multimodal AI workloads.
Enterprise-grade (40m+ lines) codebase intelligence in a zero-setup, private and local Claude Plugin or MCP: managed indexing, hybrid semantic search, polyglot code dependency graphs, and DB/API/infra
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
The documentation for SurrealDB, powered by Astro
Your Very Own Agent: The Ultimate, Complete Edition
β¨ A curated list of awesome community resources, integrations, and examples of Redis in the AI ecosystem.
Memory that remembers the story not just the facts. Three layer sentence graph for AI agents -> Facts, Episodes, raw Sentences. One DB. Zero config.
Framework for benchmarking vector search engines
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. β rebuilt from scratch. Unified architecture on your S3.
A unified SDK for IronCore encryption operations including vector encryption for AI data
Advanced AI Real Estate Assistant using RAG, LLMs, and Python. Features market analysis, property valuation, and intelligent search.
A curated list of awesome works related to high dimensional structure/vector search & database
AI Agent Development Platform - Supports multiple models (OpenAI/DeepSeek/Wenxin/Tongyi), knowledge base management, workflow automation, and enterprise-grade security. Built with Flask + Vue3 + LangC
Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.
π PageIndex: Document Index for Vectorless, Reasoning-based RAG
NextPlaid, ColGREP: Multi-vector search, from database to coding agents.
Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google
Cognitive memory for AI agents β learns from use, forgets what's irrelevant, strengthens what matters. Single binary, fully offline.
Python SDK for Milvus Vector Database
The Developer's Guide to AI - A Field Guide for the Working Developer
The official TypeScript/Node client for the Pinecone vector database
A lock-free, in-memory fuzzy search engine for Kotlin Multiplatform. L2-normalized sparse vector embeddings with O(1) cosine similarity β handles typos, transpositions, and blind continuation. Zero-al
The Go client for Chroma vector database
OasisDB: A minimal and lightweight vector database
Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.
OramaCore is the complete runtime you need for your projects, answer engines, copilots, and search. It includes a fully-fledged full-text search engine, vector database, LLM interface, and many more u
Vector search engine inside Milvus, integrating FAISS, HNSW, DiskANN.
Official repository of the Seismic library.
High-Performance Engine for Multi-Vector Search
A minimal, lightweight structured data store designed for small applications, scripts and automation workflows. Built for simplicity, portability and low overhead.
The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.
π‘ All-in-one AI framework for semantic search, LLM orchestration and language model workflows
π§ Enhance AI conversations with Cognio, a persistent memory server that retains context and enables meaningful semantic search across sessions.
π§ Enable seamless Android app hooking with Vector, a Zygisk module offering a consistent API for module developers and users, built on the LSPlant framework.
Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.
JavaScript/Typescript SDK for Qdrant Vector Database
π Build and explore multi-agent AI workflows with ready-to-use projects for document serving, Q/A bots, and orchestration.
MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable,
Benchmark for vector databases.
Humans and AI agents, building knowledge bases together. Self-hosted document annotation, version control, semantic search, and MCP.
π§ Enhance LLM agents with an agentic memory system, featuring automatic note construction, dynamic memory updates, and intelligent semantic retrieval.
π Connect your IDE or AI assistant to the Codex CLI with this open-source MCP server for efficient automation and robust code analysis.
β‘ Enable real-time communication with Claude using this WebSocket server, designed for easy deployment and integration with the Claude Agent SDK.
The graph-native hybrid retrieval engine for AI and GraphRAG. Graph + Vector + Full-Text in a single transactional engine.
Syllabus-aware RAG study assistant for university students. Answers strictly from your own notes & PDFs, unit-scoped retrieval, cross-encoder reranking, and a hallucination gate β built to help studen
π§ Capture and manage your team's knowledge effortlessly with Eywa, ensuring no valuable memory is ever lost.
π Implement hybrid search using Vespa and FastAPI, blending BM25 and dense semantic retrieval for efficient, accurate information retrieval.
Enable autonomous AI workflows with a local-first, zero-trust Rust framework for high-performance multi-agent orchestration and deterministic execution.
π Build a leading-edge e-commerce recommendation system using RAG architecture, Groq Llama 3, LangChain, and AstraDB, deployed on Kubernetes for scalability.
π Enhance code search accuracy with Smart Coding MCP, an AI-driven server that uses intelligent embeddings for quick, relevant results.
π Build and scale reliable Retrieval-Augmented Generation (RAG) systems with this curated collection of tools, frameworks, and best practices.
π€ Enhance chatbot accuracy with a self-correcting RAG system that ingests documents, retrieves data, and evaluates responses in real-time.
ποΈ Simplify booking with this AI service agent that processes queries, finds local options, and offers immediate slots and notifications.
Self-hostable RAG platform - document ingestion, embedding, and vector search behind a simple REST API
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
The first cinematic 3D memory layer for the AI Era. Unify ChatGPT, Claude, and Gemini into a pulsing second brain. Real-time semantic extraction & 3D visualization.
π€ Recommend TV shows by matching favorites, averaging embeddings, and finding similar titles using fuzzy search and vector similarity.
β‘ Optimize vector searches with a hyper-efficient cache that uses machine learning for faster, smarter data access and reduced costs.
π· Transform any camera into ROS2 image topics for seamless integration with robotic systems and effective VLA model deployment.
π§ Explore a FAIR-compliant knowledge graph that analyzes ancient debates on free will, fate, and moral responsibility from the 6th century BCE to CE.
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π° Fetch and summarize news articles locally using a Retrieval-Augmented Generation system powered by AI models for efficient information access.
π οΈ Simplify tool calls for any LLM with AnyToolCall, an OpenAI-compatible middleware that bypasses native constraints through prompt injection.
π Build memory and retrieval infrastructure for ReasonKit, enhancing data management and access for your applications with ease and efficiency.
π Build an enterprise-ready RAG system to enhance technical documentation querying with LangGraph and multi-step reasoning workflows.
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π€ Build your own local Retrieval-Augmented Generation system for private, offline AI memory without ongoing costs or data privacy concerns.
π Learn from diverse sources with OmniLearnAI, an intelligent platform that combines documents, videos, and more, all with reliable citations.
π οΈ Simplify your tasks with MineContext, an open-source AI tool that provides context-aware support for clarity and efficiency in work and study.
Detect physical hits on your laptop and play audio responses using sensors in a lightweight, cross-platform binary.
BRUNELLA AGENT SYSTEM (BAS) β A JΓVΕ DIGITΓLIS SZERVEZETE
Provide context-based, accurate answers to syllabus questions using AI powered by Retrieval-Augmented Generation for effective student learning.