embedding-vectors

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

Program that lets you ask questions about your documents, audio, and video files.

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

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.

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.

RAG with langchain using Amazon Bedrock and Amazon OpenSearch

⚡ 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.

The Next-Gen Database for AI—an infrastructure designed for data and AI. As the MySQL of the AI era.

A Python CLI to test, benchmark, and find the best RAG chunking strategy for your Markdown documents.

Vector Index Benchmark for Embeddings (VIBE) is an extensible benchmark for approximate nearest neighbor search methods, or vector indexes, using modern embedding datasets.

🐝 | From Data to Prognosis: Embedding Multimodal Oncology Data for Precision Medicine

Upload personal docs and Chat with your PDF files with this GPT4-powered app. Built with LangChain, Pinecone Vector Database, deployed on Streamlit

The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.

Local Vector Database coded in c# supports Cosine Similarity, Jaccard Dissimilarity as well as Euclidean , Manhattan, ChebyShev and Canberra distances

ChatGPT, embedding search, and retrieval-augmented generation for Squeak/Smalltalk

A hackable vector db built on top of uSearch+rocksdb, for you to break it down, dissect and scale on demand

ToucanDB is a brand-new micro ML-first database engine 🦜

Vectrain is a high-performance, modular, plug-and-play RAG pipeline that ingests data, generates vector embeddings, and stores them in vector databases for semantic search, recommendations, and analytics.