Topic: embedding-vectors Goto Github
Some thing interesting about embedding-vectors
Some thing interesting about embedding-vectors
embedding-vectors,AI Native database for embedding vectors
User: awa-ai
Home Page: https://ljeagle.github.io/awadb
embedding-vectors,RAG with langchain using Amazon Bedrock and Amazon OpenSearch
Organization: aws-samples
embedding-vectors,Plugin that creates a ChromaDB vector database to work with LM Studio running in server mode!
User: bbc-esq
embedding-vectors,Deep face recognition.
User: brightxiaohan
embedding-vectors,Efficient approximate nearest neighbor search data structure
User: crclark
embedding-vectors,DadmaTools is a Persian NLP tools developed by Dadmatech Co.
User: dadmatech
embedding-vectors,RAG-Assistant powered by Cohere-AI and Embed-v3 to faciliate scientific Research
User: dcarpintero
Home Page: https://athena-research.streamlit.app/
embedding-vectors,Semantic Search on Langchain Github Issues with Weaviate
User: dcarpintero
Home Page: https://gh-semantic-search.streamlit.app/
embedding-vectors,LLM Chatbot w/ Retrieval Augmented Generation using Llamaindex
User: dcarpintero
Home Page: https://llamaindexchat.streamlit.app/
embedding-vectors,Wikipedia Semantic Search w/ Embeddings
User: dcarpintero
Home Page: https://wikisearch.streamlit.app/
embedding-vectors,The Fast Vector Similarity Library is designed to provide efficient computation of various similarity measures between vectors.
User: dicklesworthstone
Home Page: https://pypi.org/project/fast-vector-similarity/
embedding-vectors,A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
User: dicklesworthstone
embedding-vectors,Personalize ChatGPT using LangChain, and get answers from your own documents and knowledge base.
User: doingthisalright
embedding-vectors,The contents of this repository showcase how to extract table data from a PDF file and preprocess it to facilitate word embedding. This preprocessing step enhances the readability of table data for language models and enables us to extract more contextual information from the tables.
User: easonlai
embedding-vectors,A basic web interface for your personal Q&A bot with documents, based on KnowledgeGPT
User: eren23
Home Page: https://pypi.org/project/knowledgegpt/
embedding-vectors,Upload personal docs and Chat with your PDF files with this GPT4-powered app. Built with LangChain, Pinecone Vector Database, deployed on Streamlit
User: fredsiika
Home Page: https://huxley-chat.streamlit.app/
embedding-vectors,Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
Organization: geeks-of-data
Home Page: https://pypi.org/project/knowledgegpt/
embedding-vectors,Dryad talks to you tree! Easy semantic code search on any repository
Organization: get-convex
Home Page: https://dryad.gg
embedding-vectors,Slides for "Retrieval Augmented Generation" video
User: hkproj
Home Page: https://www.youtube.com/watch?v=rhZgXNdhWDY
embedding-vectors,A monolingual and cross-lingual meta-embedding generation and evaluation framework
User: ikergarcia1996
embedding-vectors,⚡ 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.
Organization: ingestai
Home Page: https://embedditor.ai
embedding-vectors,Efficient nearest neighbor search in Swift
User: jadengeller
embedding-vectors,Proxy server for triton gRPC server that inferences embedding model in Rust
User: kozistr
Home Page: https://github.com/kozistr/triton-grpc-proxy-rs
embedding-vectors,A Dockerized Streamlit app leveraging a RAG LLM with FAISS to offer answers from uploaded markdown files, deployed on GCP Cloud.
User: labrijisaad
embedding-vectors,ChatGPT, embedding search, and retrieval-augmented generation for Squeak/Smalltalk
User: linqlover
embedding-vectors,Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine
User: lior-k
embedding-vectors,Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
Organization: llmware-ai
Home Page: https://llmware-ai.github.io/llmware/
embedding-vectors,⚡ Scalable recommendation serving and vector similarity search
User: marnixkoops
embedding-vectors,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.
User: mickymultani
embedding-vectors,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.
User: nitaiaharoni1
Home Page: https://www.npmjs.com/package/vector-storage
embedding-vectors,A simple python tool for embedding comparison
Organization: oss-pole-emploi
Home Page: https://oss-pole-emploi.github.io/embcompare/
embedding-vectors,Ruby wrapper for the Milvus vector search database API
Organization: patterns-ai-core
Home Page: http://rubydoc.info/gems/milvus
embedding-vectors,Ruby wrapper for the Qdrant vector search database API
Organization: patterns-ai-core
Home Page: https://rubydoc.info/gems/qdrant-ruby
embedding-vectors,Ruby wrapper for the Weaviate vector search database API
Organization: patterns-ai-core
Home Page: https://rubydoc.info/gems/weaviate-ruby
embedding-vectors,Vectory provides a collection of tools to track and compare embedding versions.
Organization: pentoai
embedding-vectors,Machine translation using LSTM Model. Created two translation models with/without attention mechanisms for translation between French-English and German-English.
User: prakhargurawa
embedding-vectors,✉️ 🐖 Spam email identification using NLP and a RNN with TensorFlow
User: rgdavies92
embedding-vectors,A library for machine learning models applied to Profile and Job data. http://riminder.net
Organization: riminder
embedding-vectors,Sentiment analyzer for your tweets.
User: shahules786
embedding-vectors,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.
User: shamspias
embedding-vectors,VecDB is a tool to help you to store, manage and compare embeddings vectors for machine learning applications.
User: silvaan
embedding-vectors,Vector Embedding Server in under 100 lines of code
Organization: struct-chat
embedding-vectors,Two approaches to generating optimized embeddings in the Retrieval-Augmented Generation (RAG) Pattern
User: taherfattahi
embedding-vectors,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Organization: towhee-io
Home Page: https://towhee.io
embedding-vectors,AI Platform that train chatbot and chat with this chatbot
User: typhon0130
Home Page: https://devscale-ai.vercel.app
embedding-vectors,Improving Document Classification with Multi-Sense Embeddings Source Code (ECAI 2020)
User: vgupta123
Home Page: https://ecai2020.eu/papers/391_paper.pdf
embedding-vectors,This Network-graph based literature review tool uses the open-source version of Neo4j with Jupyter Notebooks written in Python to import academic literature metadata from a variety of sources including OpenAlex, arXiv, Sematic Scholar and Web of Science. Also incorporated are OpenAI vector embeddings using Neo4j's Vector Search Index capabilities.
User: vtmike2015
embedding-vectors,An Effective and Scalable Framework for Multimodal Search with Target Modality
User: whenever5225
embedding-vectors,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.
User: yusufhilmi
Home Page: https://www.npmjs.com/package/client-vector-search
embedding-vectors,An Effective and Scalable Framework for Multimodal Search of Target Modality
Organization: zju-daily
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