embedding

16 projetos partilham este topic do GitHub

embedding — ms-swift ★14.9kembeddingturbovec — ★13.6kall-in-rag — ★9.7kTencentDB-Agent-Memory — ★9.2kUltraRAG — ★5.7ktelegram-search — ★4ksiamese-triplet — ★3.2kMyScaleDB — ★1kVLM2Vec — ★666NLP_pytorch_project — ★569GradCache — ★443solon-ai — ★426redis-vl-python — ★416vectorhub — ★386json-repair — ★381aquila — ★379turbovec★ 13.6kall-in-rag★ 9.7kTencentDB-Agent-Memory★ 9.2kUltraRAG★ 5.7ktelegram-search★ 4ksiamese-triplet★ 3.2kMyScaleDB★ 1kVLM2Vec★ 666NLP_pytorch_project★ 569GradCache★ 443solon-ai★ 426redis-vl-python★ 416vectorhub★ 386json-repair★ 381aquila★ 379

Linhas conectam membros que estão mensuravelmente relacionados entre si. O tamanho do ponto reflete estrelas.

🧬 Membros
ms-swift
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4,…
★ 14.9k
turbovec
A vector index built on TurboQuant, written in Rust with Python bindings
★ 13.6k
all-in-rag
🔍大模型应用开发实战一:RAG 技术全栈指南,在线阅读地址:https://datawhalechina.gith…
★ 9.7k
TencentDB-Agent-Memory
TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline,…
★ 9.2k
UltraRAG
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
★ 5.7k
telegram-search
🔍 导出并模糊搜索 Telegram 聊天记录 | Export and fuzzy search your Telegram chat history
★ 4k
siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
★ 3.2k
MyScaleDB
A @ClickHouse fork that supports high-performance vector search and full-text search.
★ 1k
VLM2Vec
This repo contains the code for "VLM2Vec / MMEB" [ICLR 2025], "VLM2Vec-V2 / MMEB-V2" [TMLR 2026], and…
★ 666
NLP_pytorch_project
Embedding, NMT, Text_Classification, Text_Generation, NER etc.
★ 569
GradCache
Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint
★ 443
solon-ai
Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent).…
★ 426
redis-vl-python
Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.
★ 416
vectorhub
Quickly and easily build AI website or application by using embeddings!
★ 386
json-repair
🔧 Repair JSON!Solution for JSON Anomalies from LLMs.
★ 381
aquila
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN…
★ 379
🔗 Familias relacionadas

Medido a partir dos tópicos do GitHub compartilhados por ambos os projetos, ponderado pela raridade de cada tópico.