Milvus

Guide to using and contributing cognee community packages: database adapters, data-source connectors, custom tasks and retrievers, and Keywords AI observability.

topoteretes/cognee

Diagnose and configure MemSearch memory behavior. An agent skill from zilliztech/memsearch.

zilliztech/memsearch

Turn workflows from your MemSearch memory into reusable skills.

zilliztech/memsearch

Edit, validate, debug, publish, and inspect ReachAI Workflow drafts through the Workflow AI Coding REST API.

w8123/EnterpriseAgentFramework

Search and recall relevant memories from past sessions via memsearch.

zilliztech/memsearch

Create, inspect, and safely update project-scoped ReachAI Agents; edit and publish Supervisor config drafts; discover published bindable Skills; and attach or detach exact Skill versions through the…

w8123/EnterpriseAgentFramework

Update the Milvus SDK API reference documentation under APIReference/ in the web-content repository so it reflects a new SDK release, using the SDK repository's git tags as ground truth.

milvus-io/web-content

Integrate Java business systems with ReachAI SDK registration, SDK instance heartbeat, gateway/embed access, and optional API Management handoff.

w8123/EnterpriseAgentFramework

Search, grep, browse, and read across registered MFS data sources via the mfs CLI — codebases, docs, PDFs, web crawls, databases (postgres/mysql/mongo/snowflake/bigquery), issue trackers…

zilliztech/mfs

Search and recall relevant memories from past sessions via memsearch.

zilliztech/memsearch

Register, update, or re-sync data sources for MFS so they become searchable — postgres / mysql / mongo / snowflake / bigquery, github / jira / linear / notion / hubspot / zendesk, slack / discord /…

zilliztech/mfs

Build retrieval-augmented generation systems: pick a vector database and embedding model, choose retrieval and reranking strategies, and start from a LangGraph pipeline.

wshobson/agents

Guide for setting up and using the AgenticX memory system including Mem0 integration, long-term memory, context management, and memory-enhanced agents.

DemonDamon/AgenticX

Hunt vector-store / embedding-layer weaknesses in RAG pipelines (OWASP LLM08 Vector and Embedding Weaknesses) — persistent corpus poisoning that survives across sessions and users (distinct from…

elementalsouls/Claude-BugHunter

Vector database implementation for AI/ML applications, semantic search, and RAG systems.

ancoleman/ai-design-components

A skill your agent uses when working with AliCloud Milvus (serverless) with PyMilvus to create collections, insert vectors, and run filtered similarity search.

cinience/alicloud-skills

Expert in vector databases, embedding strategies, and semantic search implementation.

aiskillstore/marketplace

Develop and debug the Multimodal DataPrep microservice: its FastAPI media endpoints, in-process embedding pipeline, batch jobs, object detection, telemetry and Metrics Manager publishing, and…

open-edge-platform/edge-ai-libraries

Deploy and consume Intel Multimodal DataPrep from prebuilt images or a repository checkout.

open-edge-platform/edge-ai-libraries

Guides use of the Qdrant Migration Tool CLI to move vectors, metadata, and sparse embeddings from another vector database into Qdrant.

qdrant/skills

Provides configuration patterns for LangChain4J vector stores in RAG applications.

giuseppe-trisciuoglio/developer-kit

Open deep research alternative for private data with vector search

wentorai/research-plugins

Operate Milvus vector database with pymilvus — collections, vector search, hybrid search, indexes, RBAC, partitions, and more via Python code.

LeoYeAI/openclaw-master-skills