Build software better, together

milvus-io / milvus

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

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

Updated Dec 16, 2024
Go

Dicklesworthstone / swiss_army_llama

Star

A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.

embeddings semantic-search embedding-vectors embedding-similarity llamacpp llama2

Updated Oct 4, 2024
Python

jina-ai / vectordb

Star

A Python vector database you just need - no more, no less.

sentence-embeddings vector-search vector-database neural-search embedding-similarity vector-database-embedding

Updated Mar 4, 2024
Python

dangkhoasdc / awesome-vector-database

Star

A curated list of awesome works related to high dimensional structure/vector search & database

search-engine nearest-neighbor-search approximate-nearest-neighbor-search similarity-search vector-search vector-database vector-search-engine embeddings-similarity embedding-similarity

Updated Dec 13, 2024

VQLite / VQLite

Star

VQLite - Simple and Lightweight Vector Search Engine based on Google ScaNN

vector nearest-neighbor-search approximate-nearest-neighbor-search embedding similarity-search vector-similarity vector-search vector-database vector-search-engine vector-similarity-database vector-similarity-search embedding-search embedding-database embedding-similarity vector-similarity-search-engine

Updated Jul 12, 2024
Go

langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.

Updated Oct 11, 2023
Python

ElmiraGhorbani / chatgpt-long-term-memory

Star

The ChatGPT Long Term Memory package is a powerful tool designed to empower your projects with the ability to handle a large number of simultaneous users and external sources.

Updated Jul 31, 2023
Python

BirchKwok / lynsedb

Star

A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.

search nlp search-engine database matching nearest-neighbor-search image-search recommender-system pure-python approximate-nearest-neighbor-search similarity-search knn-algorithm rag vector-search vector-database neural-search embedding-similarity vectordb llm-chain

Updated Oct 7, 2024
Python

vitrivr / cottontaildb

Star

Cottontail DB is a column store vector database aimed at multimedia retrieval. It allows for classical boolean as well as vector-space retrieval (nearest neighbour search) used in similarity search using a unified data and query model.

database multimedia retrieval similarity-search multimedia-retrieval vector-database vector-search-engine cottontail-db vector-space-retrieval knearest-neighbours-lookup cottontaildb embedding-similarity

Updated Oct 31, 2024
Kotlin

ericmillsio / whiplash

Star

Serverless, lightweight, and fast vector database on top of DynamoDB

search search-engine information-retrieval lsh nearest-neighbor-search serverless-framework semantic-search-engine recommender-system serverless-architectures approximate-nearest-neighbor-search semantic-search similarity-search knn-algorithm vector-search vector-database vector-search-engine embedding-similarity

Updated Dec 7, 2023
Python

struct-chat / embedding

Star

Vector Embedding Server in under 100 lines of code

docker python3 semantic-search vector-similarity embedding-vectors embedding-similarity

Updated Mar 1, 2024
Python

shotit / shotit

Star

Shotit is a screenshot-to-video search engine tailored for TV & Film, blazing-fast and compute-efficient.

Updated Sep 14, 2024

Seven-33 / langchain-chat

Star

langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.