Semantic embedding-based question-answering system that processes PDFs to generate embeddings for sentences, enabling semantic search and question answering using these embeddings.
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Updated
Jun 3, 2024 - Python
Semantic embedding-based question-answering system that processes PDFs to generate embeddings for sentences, enabling semantic search and question answering using these embeddings.
A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
using Ollama and Duckdb Vector Search Extension to build in Memory Semantic Caching Database
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Your Call Center Superpower
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MTEB: Massive Text Embedding Benchmark
Elevate user interactions with ChatFAQ: your open-source chatbot solution, offering the full spectrum of ChatGPT capabilities. AI + LLM + CMS
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Your AI second brain. Get answers to your questions, whether they be online or in your own notes. Use online AI models (e.g gpt4) or private, local LLMs (e.g llama3). Self-host locally or use our cloud instance. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.
🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
Neural Search
Simple Text Embedding, Retrieval, Rerank and RAG
الشيفرة البرمجية لدعم البحث بالمعنى على منصة باحث
The goal of this project is to build a small Discord Bot that search messages in discord channels. It does semantic search along simple word search. It is compatible with multiple LLM Semantic Models, like Bert or e5 for instance.
The platform for customizing AI from enterprise data
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