embedding-vectors
There are 171 repositories under embedding-vectors topic.
towhee-io/towhee
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Dicklesworthstone/swiss_army_llama
A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
Gurubase/gurubase
Turn Your Content Into a 24/7 AI Support Assistant
Dicklesworthstone/fast_vector_similarity
The Fast Vector Similarity Library is designed to provide efficient computation of various similarity measures between vectors.
lior-k/fast-elasticsearch-vector-scoring
Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine
BBC-Esq/VectorDB-Plugin
Plugin that lets you ask questions about your documents including audio and video files.
geeks-of-data/knowledge-gpt
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
nitaiaharoni1/vector-storage
Vector Storage is a vector database that enables semantic similarity searches on text documents in the browser's local storage. It uses OpenAI embeddings to convert documents into vectors and allows searching for similar documents based on cosine similarity.
IngestAI/embedditor
⚡ GUI for editing LLM vector embeddings. No more blind chunking. Upload content in any file extension, join and split chunks, edit metadata and embedding tokens + remove stop-words and punctuation with one click, add images, and download in .veml to share it with your team.
aws-samples/rag-using-langchain-amazon-bedrock-and-opensearch
RAG with langchain using Amazon Bedrock and Amazon OpenSearch
yusufhilmi/client-vector-search
A client side vector search library that can embed, store, search, and cache vectors. Works on the browser and node. It outperforms OpenAI's text-embedding-ada-002 and is way faster than Pinecone and other VectorDBs.
Dadmatech/DadmaTools
DadmaTools is a Persian NLP tools developed by Dadmatech Co.
awa-ai/awadb
AI Native database for embedding vectors
shamspias/langchain-chat
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.
Shannon-Data/ShannonBase
The Next-Gen Database for AI—an infrastructure designed for data and AI. As the MySQL of the AI era.
ikergarcia1996/MetaVec
A monolingual and cross-lingual meta-embedding generation and evaluation framework
pentoai/vectory
Vectory provides a collection of tools to track and compare embedding versions.
shahules786/Twitter-Sentiment
Sentiment analyzer for your tweets.
patterns-ai-core/weaviate-ruby
Ruby wrapper for the Weaviate vector search database API
patterns-ai-core/qdrant-ruby
Ruby wrapper for the Qdrant vector search database API
dcarpintero/llamaindexchat
LLM Chatbot w/ Retrieval Augmented Generation using Llamaindex. It demonstrates how to impl. chunking, indexing, and source citation.
fredsiika/huxley-pdf
Upload personal docs and Chat with your PDF files with this GPT4-powered app. Built with LangChain, Pinecone Vector Database, deployed on Streamlit
get-convex/dryad
Dryad talks to you tree! Easy semantic code search on any repository
taherfattahi/recommendation-systems-by-llms
Enhancing Recommendation Systems with Large Language Models (RAG - LangChain - OpenAI)
doingthisalright/chatgpt-langchain-qna-on-your-docs
Personalize ChatGPT using LangChain, and get answers from your own documents and knowledge base.
patterns-ai-core/milvus
Ruby wrapper for the Milvus vector search database API
deatos/HyperVectorDB
Local Vector Database coded in c# supports Cosine Similarity, Jaccard Dissimilarity as well as Euclidean , Manhattan, ChebyShev and Canberra distances
mickymultani/Streaming-LLM-Chat
Interactive chat application leveraging OpenAI's GPT-4 for real-time conversation simulations. Built with Flask, this project showcases streaming LLM responses in a user-friendly web interface.
AmirLayegh/airbnb-semantic-search
A semantic search system for Airbnb listings in Stockholm, built with Superlinked and Qdrant. It leverages multi-attribute vector search and Retrieval-Augmented Generation (RAG) to enhance search accuracy, embedding different data types (e.g., price, description) with specialized models. Powered by FastAPI and Streamlit.
ZJU-DAILY/MUST
An Effective and Scalable Framework for Multimodal Search of Target Modality
struct-chat/embedding
Vector Embedding Server in under 100 lines of code
hkproj/retrieval-augmented-generation-notes
Slides for "Retrieval Augmented Generation" video
kozistr/triton-grpc-proxy-rs
Proxy server for triton gRPC server that inferences embedding model in Rust
aicubetechnology/aicube-embedding2embedding
AICUBE Embedding2Embedding - Unlock advanced embedding translation between distinct vector spaces with the AICUBE Embedding2Embedding. Seamlessly transform embeddings across various domains to enhance the flexibility and precision of your AI models, enabling smarter integrations.
labrijisaad/LLM-RAG
A Dockerized Streamlit app leveraging a RAG LLM with FAISS to offer answers from uploaded markdown files, deployed on GCP Cloud.
vector-index-bench/vibe
Vector Index Benchmark for Embeddings (VIBE) is an extensible benchmark for approximate nearest neighbor search methods, or vector indexes, using modern embedding datasets.