A realtime and indexing and structured extraction engine for Unstructured Data to build Generative AI Applications
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Updated
May 29, 2024 - Rust
A realtime and indexing and structured extraction engine for Unstructured Data to build Generative AI Applications
MTEB: Massive Text Embedding Benchmark
Text Embedding, Retrieval, Rerank and RAG
⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Work in progress. An llm util to work as an evaluation step in RAG applications
Voyage AI Official Python Library
Official code for paper "UniIR: Training and Benchmarking Universal Multimodal Information Retrievers"
LLM for Drug Editing, ICLR 2024
Palladian is a Java-based toolkit with functionality for text processing, classification, information extraction, and data retrieval from the Web.
The framework for fast development and deployment of RAG systems.
Customizable Case-Based Reasoning (CBR) toolkit for Python with a built-in API and CLI.
vitrivr NG is a web-based user interface for searching and browsing mixed multimedia collections. It uses cineast as a backend
An implementation of the TaxRetrievalBenchmark task for the 🤗 Massive Text Embedding Benchmark (MTEB) framework.
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.
Go implementation of @Qdrant/fastembed.
Golden Retriever - A Lightning framework for retriever architecture prototype
advanced concepts of data, storage, organization, and retrieval. Topics include multiple-linked lists, balanced trees, graphs, abstract data types, classes and methods, object-oriented programming, searching and sorting.
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