Detailed description given in the README

Distributed vector search for AI-native applications

A cloud-native vector database, storage for next generation AI applications

Official Weaviate TypeScript Client

Movie Search with Gemini API, MongoDB Vector Search, and Streamlit UI

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Cloud-native vector similarity search and storage with efficient, serverless scale-out

Scala client for Pinecone vector database

Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.

A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

GenAI Experimentation

LlamaIndex is a data framework for your LLM applications

The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.

This is an GraphRAG - Knowledge Graph based and out-of-the-box conversational search tool that leverages the vector storage capabilities of TiDB Serverless. It provides a seamless way to embed a powerful question-answering (QA) bot directly on your website, requiring only a simple copy-and-paste of a JavaScript snippet. Demo: https://tidb.ai

ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector

The Kubernetes Operator of Milvus.

This repo is for a RAG based chatbot for COVID-19 built using OpenAI GPT 3.5 Turbo API, Langchain, chromadb vector database and flask.

No fuss multi-index hybrid vector database / search engine