awesome-nlp
Section: Retrieval and Embeddings · and BGE-M3 (2024) - multilingual, multi-functionality embeddings; top of MTEB across languages.
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Appears in 4 awesome lists
and BGE-M3 (2024) - multilingual, multi-functionality embeddings; top of MTEB across languages.
Section: Retrieval and Embeddings · and BGE-M3 (2024) - multilingual, multi-functionality embeddings; top of MTEB across languages.
Section: 5. Retrieval-Augmented Generation (RAG) & Knowledge · BAAI's best-in-class embedding family.
Section: Industry Strength Information Retrieval · BGE builds one-stop retrieval toolkit for search and RAG.
Section: Other · Retrieval and Retrieval-augmented LLMs
(MIT) provides modules for structured outputs at different levels of abstraction, including output parsers for text completion endpoints, Pydantic programs for mapping prompts to structured outputs using function calling or output parsing, and pre-defined Pydantic programs for specific output types.
Milvus is a cloud-native, open-source vector database built to manage embedding vectors generated by machine learning models and neural networks.
Mem0 is an intelligent memory layer for Large Language Models that enhances personalized AI experiences by retaining and utilizing contextual information across various applications. github | website | docs | discord | twitter | github profile | linkedin
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…
Python tool for converting files and office documents to Markdown. Supports PDF, PowerPoint, Word, Excel, images, audio, HTML, and more with OCR and transcription capabilities. MIT licensed.
AI-native database built for LLM applications with incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text. Powers RAGFlow's document engine. Apache 2.0 licensed.