TencentDB Agent Memory is a team-level memory hub for AI Agents โ turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
A zero-embedding approach to video intelligence, using Jev: contact sheets + typed decisions, as MCP tools and a skill for any coding agent.
Inference code for QUAN-Transcribe: fast Vietnamese speech recognition on EmbeddingGemma 2
Offline multi-speaker meeting-speech toolkit: planted-ground-truth synthetic meeting factory, VAD, speaker embeddings, diarization (AHC/spectral/VB-HMM), overlap detection, CTC speaker-attributed ASR, cpWER/DER/JER evaluation, online streaming mode, deterministic reports. NumPy core, CPU-only torch extra.
The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
Persistent Context Across Sessions for Every Agent โ Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Servo aims to empower developers with a lightweight, high-performance alternative for embedding web technologies in applications.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
State-of-the-Art Embeddings, Retrieval, and Reranking
A vector index built on TurboQuant, written in Rust with Python bindings
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Automation foundation model for tiny devices: 2-bit, 8-29 MB, tool calls, ASR, structured extraction and embeddings on phones, wearables, smart homes, robots, cars and microcontrollers.
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
The all-in-one, open-source backend platform for agentic coding. InsForge gives your coding agent database, auth, storage, compute, hosting, and AI gateway to ship full-stack apps end-to-end.
๐ก All-in-one AI framework for semantic search, LLM orchestration and language model workflows
๐ๅคงๆจกๅๅบ็จๅผๅๅฎๆไธ๏ผRAG ๆๆฏๅ จๆ ๆๅ๏ผๅจ็บฟ้ ่ฏปๅฐๅ๏ผhttps://datawhalechina.github.io/all-in-rag/
๐ A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
A highly extensible Markdown editor featuring version control, AI Copilot, document annotations, mind maps, document encryption, executable code snippets, chart embedding, HTML applets, plugins, and macro replacement. Its integrated sidebar terminal makes working with AI faster and more convenient.
Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read
Flutter on Windows, MacOS and Linux - based on Flutter Embedding, Go and GLFW.
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Find related notes and excerpts while writing. Your link building copilot displays relevant content in graph + list view. A local embedding model powers semantic search. Zero setup. No API key.
Search your computer by what's in your files: photos, PDFs, documents, recordings, videos and code. On-device on Mac, Windows and Linux, built on Google DeepMind's EmbeddingGemma 2.
Your Personal Librarian Agent. Ask anything on your computer, organize files, remember important info and files.
A blazing fast inference solution for text embeddings models
Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.
Chromium Embedded Framework (CEF). A simple framework for embedding Chromium-based browsers in other applications.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Semantic search over videos using Gemini Embedding 2 or Qwen3-VL.
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
The Ruby AI framework.
๐ ๅฏผๅบๅนถๆจก็ณๆ็ดข Telegram ่ๅคฉ่ฎฐๅฝ | Export and fuzzy search your Telegram chat history
A python library for self-supervised learning on images.
Open-source AI coding assistant for VS Code. Coding agent, code completion, chat, edits and reviews with local or hosted models. Your models, your infrastructure.
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
Open-source inference server and production cluster for all the models your agent needs.
Enterprise-grade (40m+ LOC) codebase intelligence, zero-setup, local & private Plugin/Skill/Extension or MCP: hybrid semantic search, polyglot dependency graphs, symbol-level impact analysis & call-flow, interactive HTML viewer, cross-project & branch-aware search, DB/API/infra knowledge. 61% less tokens, 84% fewer calls, 37x faster. Cloud in beta.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Frontier CoreML audio models in your apps โ text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali
AI-powered cross-platform e-book reader with semantic search, RAG chat, local vector store, notes, TTS, and WebDAV sync.
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
Mercury Editor: The Rails WYSIWYG editor that allows embedding full page editing capabilities directly inline.
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
The collection of pre-trained, state-of-the-art AI models for ailia SDK