Awesome Open Source

Programming Languages

Search results for embedding vectors

embedding-vectors x

23 search results found

Towhee ⭐ 2,903

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Llmware ⭐ 1,859

Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.

Swiss_army_llama ⭐ 688

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

Fast Elasticsearch Vector Scoring ⭐ 348

Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine

Embedditor ⭐ 192

⚡ 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.

Fast_vector_similarity ⭐ 180

The Fast Vector Similarity Library is designed to provide efficient computation of various similarity measures between vectors.

AI Native database for embedding vectors

Chromadb Plugin For Lm Studio ⭐ 142

Plugin that creates a ChromaDB vector database to work with LM Studio running in server mode!

Dadmatools ⭐ 142

DadmaTools is a Persian NLP tools developed by Dadmatech Co.

Knowledge Gpt ⭐ 91

Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.

Client Vector Search ⭐ 81

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.

A monolingual and cross-lingual meta-embedding generation and evaluation framework

Langchain Chat ⭐ 59

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.

Vectory provides a collection of tools to track and compare embedding versions.

Rag Using Langchain Amazon Bedrock And Opensearch ⭐ 47

RAG with langchain using Amazon Bedrock and Amazon OpenSearch

Weaviate Ruby ⭐ 39

Ruby wrapper for the Weaviate vector search database API

Vector Storage ⭐ 36

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.

Qdrant Ruby ⭐ 27

Ruby wrapper for the Qdrant vector search database API

Embedding ⭐ 16

Vector Embedding Server in under 100 lines of code

Ruby wrapper for the Milvus vector search database API

Improving Document Classification with Multi-Sense Embeddings Source Code (ECAI 2020)

Llamaindexchat ⭐ 7

LLM Chatbot with Retrieval Augmented Generation using Llamaindex

Embcompare ⭐ 6

A simple python tool for embedding comparison

Related Searches

Python Embedding Vectors (19)

Embeddings Embedding Vectors (17)

Vector Search Embedding Vectors (8)

Vector Embedding Vectors (7)

Llm Embedding Vectors (6)

Retrieval Augmented Generation Embedding Vectors (5)

Vector Database Embedding Vectors (5)

Openai Embedding Vectors (5)

Rust Embedding Vectors (4)

Deep Learning Embedding Vectors (4)

1-23 of 23 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.