💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
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Updated
May 18, 2024 - Python
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Index and query any data using LLM and natural language, tracking sources and showing citations.
MTEB: Massive Text Embedding Benchmark
A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
The platform for customizing AI from enterprise data
vatiety of NLP projects
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.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.
🔮 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.
🍁 Sycamore is an LLM-powered search and analytics platform for unstructured data.
This repository demonstrates a workflow that integrates LangChain with a vector store (Pinecone) to enable semantic search and question answering using large language models (LLMs).
Hybrid search engine, combining best features of text and semantic search worlds
Your AI second brain. A copilot to get answers to your questions, whether they be from your own notes or from the internet. Use powerful, online (e.g gpt4) or private, local (e.g mistral) LLMs. Self-host locally or use our web app. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.
Text Embedding for Retrieval, Rerank and RAG
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
PL-MTEB: Polish Massive Text Embedding Benchmark
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