Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

golang distributed nearest-neighbor-search cloud-native image-search vector-similarity faiss anns rag hnsw vector-search vector-database llm embedding-database embedding-store vector-store embedding-similarity diskann

• Updated Nov 12, 2026
• Go

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

machine-learning information-retrieval statistics clustering gpu distance linear-algebra cuda primitives sparse nearest-neighbors solvers vector-similarity anns random-sampling vector-search building-blocks llm vector-store neighborhood-methods

• Updated Nov 11, 2026
• Cuda

cuVS - a library for vector search and clustering on the GPU

machine-learning information-retrieval statistics clustering gpu distance cuda sparse nearest-neighbors similarity-search vector-similarity anns vector-search llm vector-store neighborhood-methods

• Updated Nov 12, 2026
• Cuda

Chat and Ask on your own data. Accelerator to quickly upload your own enterprise data and use OpenAI services to chat to that uploaded data and ask questions

azure openai azure-functions redis-search azure-webapp pinecone cognitive-search gpt-3 azure-openai chatgpt langchain gpt-35-turbo azureopenai vector-store

• Updated Jan 2, 2025
• TypeScript

A modern desktop application for exploring, managing, and analyzing vector databases

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• Updated Oct 6, 2026
• TypeScript

A low-latency, billion-scale, and updatable graph-based vector store on SSD.

fast approximate-nearest-neighbor-search osdi anns vector-search billion-scale vector-database vector-store diskann vector-update pipeann odinann

• Updated Oct 17, 2026
• C++

Harnessing the Memory Power of the Camelids

python llama fastapi sqlmodel llm retrieval-augmented langchain vector-store chromadb microsoft-guidance

• Updated Oct 19, 2023
• Python

vector-store litellm ai-gateway litellm-ai-gateway openai-vector-store vector-store-gateway

• Updated Oct 6, 2026
• Python

Sample Spring AI Application with several use cases

spring-boot openai multimodality pinecone stock-api rag llm vector-store multimodal-large-language-models retrieval-augmented-generation ollama spring-ai mistral-ai spring-ai-example spring-ai-demo

• Updated Nov 6, 2026
• Java

Python SDK for vector search, semantic search, RAG, embeddings, and AI agents on Oracle AI Database

python oracle embeddings python-sdk vectors semantic-search oracle-database similarity-search ai-agents rag hnsw vector-search autonomous-database vector-database generative-ai vector-db vector-store retrieval-augmented-generation oracle-ai-database oracle-ai-vector-search

• Updated Oct 16, 2026
• Python

Semantic product search on Databricks

retail embedding-models semantic-search model-serving rcg vector-store

• Updated Jun 18, 2025
• Python

🗲 A high-performance on-disk dictionary.

machine-learning database deep-learning dictionary leveldb lmdb persistent-storage llm vector-store

• Updated Dec 4, 2025
• Python

AgriGenius: AI-Powered Agriculture Chatbot is a Python web application designed to empower farmers with information accessibility. AgriGenius leverages a Retrieval-Augmented Generation model to address farmer's agricultural queries with precise answers.

javascript css python html api flask agriculture chatbot embeddings artificial-intelligence requests chroma pypdf2 sentence-transformers langchain vector-store gen-ai retrieval-augmented-generation together-ai meta-llama

• Updated Sep 6, 2024
• JavaScript

Persistent RAG memory layer for AI agents - store observations, retrieve context by semantic similarity, self-prune on TTL

typescript memory bun claude solana rag ai-agent vector-store chromadb

• Updated Jun 22, 2026
• TypeScript

The official Elasticsearch .NET Vector Store Connector for Microsoft Semantic Kernel.

elasticsearch ai connector semantic-kernel vector-store

• Updated Oct 6, 2026
• C#

A simple Retrieval-Augmented Generation (RAG) project built with LangChain and Streamlit. Upload documents (PDF/TXT) and interact with them using natural language questions powered by embeddings and vector search.

python nlp pdf ai question-answering document-search faiss rag streamlit langchain vector-store

• Updated Sep 16, 2025
• Jupyter Notebook

A Question Generation Application leveraging RAG and Weaviate vector store to be able to retrieve relative contexts and generate a more useful answer-aware questions

information-retrieval transformers question-answering nlp-machine-learning question-generation rag weaviate vector-database vector-store retrieval-augmented-generation

• Updated Feb 3, 2025
• Jupyter Notebook

just testing langchain with llama cpp documents embeddings

embeddings documents llama similarity-search faiss document-embeddings langchain vector-store llamacpp

• Updated Jun 18, 2024
• Python

Persistent, git-friendly memory storage for AI agents — hybrid semantic + full-text search, append-only binary format, zero-copy reads

rust ai memory embeddings full-text-search cursor agents semantic-search bm25 rust-crate ai-agents claude vector-search ai-tools llm vector-store ai-memory

• Updated Mar 2, 2026
• Rust

Multi-User Chatbot with Langchain and Pinecone in Next.JS

crawler mongodb nextjs chatbot crawl ably node-spider pinecone prisma cherrio vector-database ai-chatbot llm chatgpt langchain large-language-model vector-store langchain-js

• Updated Jun 22, 2023
• TypeScript