Best vector databases skills, page 5

Reindexes KB for semantic search via vector store (Qdrant). An agent skill from softspark/ai-toolkit.

softspark/ai-toolkit

RAG: embeddings, chunking, hybrid search (BM25+vector), reranking, CRAG, multi-hop.

softspark/ai-toolkit

Build provider-agnostic .NET AI integrations with Microsoft.Extensions.AI, IChatClient, embeddings, middleware, structured output, vector search, and evaluation.

managedcode/dotnet-skills

Backend infrastructure for a project via Cohesivity (cohesivity.ai).

Anil-matcha/awesome-muse-connectors

Build and query vector stores with LangChain 1.0 without getting burned by flipped score semantics, embedding-dim mismatches, reranker quirks, and chunk-splitter bugs.

jeremylongshore/tons-of-skills-marketplace

Find structurally similar chemical compounds using PubChem's 2D fast similarity engine via the PUG-REST API.

learningmatter-mit/AtomisticSkills

Manage the ChromaDB vector database that stores the ecosystem's persistent memory.

EliasOulkadi/shokunin

Persistent memory across AI sessions using ChromaDB vector database.

EliasOulkadi/shokunin

Call nodetool.collections from a code action: index text chunks into the vector store, search them semantically or with hybrid keyword search, and query a named knowledge collection.

nodetool-ai/nodetool

Guides Qdrant scaling decisions. An agent skill from qdrant/skills.

qdrant/skills

Diagnoses and improves Qdrant search relevance. An agent skill from qdrant/skills.

qdrant/skills

Connect to Supabase for database operations, vector search, and storage.

sundial-org/awesome-openclaw-skills

Expert knowledge for Azure Machine Learning development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration…

MicrosoftDocs/Agent-Skills

A skill your agent uses when building or restructuring an LLM agent — provider adapter, tool calling, structured output, RAG, agent loop, eval gate, cost routing, tracing, MCP server —…

ericrisco/rsc-harness

A skill your agent uses when modeling MongoDB documents (embed versus reference, the 16MB cap, bucket and subset patterns), choosing or fixing indexes (compound order by the ESR rule, partial, TTL…

ericrisco/rsc-harness

A skill your agent uses when building grounded Q&A over your own corpus — chunk, retrieve hybrid, rerank, ground, cite chunk ids, refuse when the sources fall short — or when the right document is…

ericrisco/rsc-harness

A skill your agent uses when using Redis or any Redis-protocol store (Valkey, ElastiCache, Upstash, Dragonfly, Memorystore) as a cache, queue, rate limiter or distributed lock and it has to be…

ericrisco/rsc-harness

A skill your agent uses when operating a vector store as a data layer — choosing or migrating between Pinecone, Qdrant, Weaviate and pgvector; designing a collection or index (distance metric…

ericrisco/rsc-harness

Provides AWS CloudFormation patterns for Amazon Bedrock resources including agents, knowledge bases, data sources, guardrails, prompts, flows, and inference profiles.

giuseppe-trisciuoglio/developer-kit

Implement Convex runtime features: HTTP actions, file storage, search (full text + vector), scheduling (crons + scheduled functions), and RAG patterns.

IgorWarzocha/Opencode-Workflows

Adds persistent, personalized long-term memory to LLM apps and agents with Mem0, the open-source memory layer: it extracts facts from conversations, stores them in a vector database and retrieves…

majiayu000/claude-skill-registry

Expert in building Retrieval-Augmented Generation systems. An agent skill from majiayu000/claude-skill-registry.

majiayu000/claude-skill-registry

A skill your agent uses for DSPy retrieval with dspy.Embedder, dspy.Embeddings, FAISS indexes, semantic search, and local or hosted embedding models.

OmidZamani/dspy-skills

Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot.

aAAaqwq/AGI-Super-Team

Databricks Vector Search endpoints and indexes for RAG and semantic search; covers index types, search modes, end-to-end RAG patterns

databricks/databricks-agent-skills

Build AI-first applications with RAG pipelines, embeddings, vector databases, agentic workflows, and LLM integration.

aiskillstore/marketplace

Open security platform for agentic infrastructure — broad scanning plus MCP discovery, CVEs, blast radius, SBOMs, CIS benchmarks (AWS, Azure, GCP, Snowflake), OWASP/NIST/MITRE compliance, AISVS…

LeoYeAI/openclaw-master-skills

Facebook AI Similarity Search — ultra-fast vector similarity search for large-scale local embedding retrieval without a database server.

AlexAI-MCP/hermes-CCC

Managed vector database for production RAG — serverless and pod-based deployment, hybrid search, namespaces, and metadata filtering.

AlexAI-MCP/hermes-CCC

High-performance vector search engine for production RAG — Rust-powered, horizontal scaling, hybrid dense+sparse search, metadata filtering.

AlexAI-MCP/hermes-CCC

Open deep research alternative for private data with vector search

wentorai/research-plugins

Run sequence similarity searches via the NCBI BLAST REST API

wentorai/research-plugins

Comprehensive protein analysis combining InterProScan domain identification with BLAST similarity search to provide complete functional and evolutionary annotation.

InternScience/scp

Search for similar molecules using Tanimoto similarity with Morgan fingerprints to identify structurally related compounds.

InternScience/scp

Every Pinecone API feature, plus local sync, snapshot history, and text-first search no other Pinecone tool has.

mvanhorn/printing-press-library

Query RCSB PDB (200K+ structures) via the public REST + GraphQL APIs with plain requests (no SDK).

jaechang-hits/SciAgent-Skills

Memory is the cornerstone of intelligent agents. An agent skill from aiskillstore/marketplace.

aiskillstore/marketplace

Cloudflare Vectorize vector database for semantic search and RAG.

secondsky/claude-skills

Guides Qdrant monitoring and observability setup. An agent skill from qdrant/skills.

qdrant/skills

Navigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization.

qdrant/skills

A skill your agent uses for Feast feature store tasks: feature repositories, definitions, CLI, retrieval, materialization, serving, RAG/vector search, integrations, and Feast contributor workflows.

VectorSpaceLab/AREX-Skill

A skill your agent uses for Feast RAG, vector search, vector-indexed fields, vector online stores, document embedding/chunking, retrieveonlinedocuments APIs, DocEmbedder, FeastVectorStore, and…

VectorSpaceLab/AREX-Skill

A skill your agent uses for Ultralytics track mode, tracker YAML selection, persistent object IDs, and YOLO Solutions such as counting, heatmaps, speed, queue, region, similarity search, and…

VectorSpaceLab/AREX-Skill

Hybrid code search (BM25 + vector + KG) with RRF fusion. An agent skill from bobmatnyc/claude-mpm.

bobmatnyc/claude-mpm

Build or update the reviewer base index (vector store + code graph) from a local repo clone.

hashgraph-online/awesome-codex-plugins

GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT.

majiayu000/claude-skill-registry

Design RAG pipelines: chunking, retrieval evaluation, and architecture.

borghei/Claude-Skills

Fast knowledge base retrieval - single FAISS search + graph connections, no subagents or LLM orchestration

Abilityai/cornelius