LlamaIndex · Retrieval-augmented generation

Sets up FAISS for fast nearest-neighbor search over large collections of dense vectors, choosing between Flat, IVF, HNSW and product quantization indexes.

Orchestra-Research/AI-Research-SKILLs

Shows how to use Pinecone, a managed vector database, for production RAG, semantic search and recommendations: indexes, upserts, queries, filters and namespaces.

Orchestra-Research/AI-Research-SKILLs

Data framework for building LLM applications with RAG. An agent skill from Orchestra-Research/AI-Research-SKILLs.

Orchestra-Research/AI-Research-SKILLs

Generates text embeddings locally with the sentence-transformers library for RAG, semantic search, clustering and similarity, with model picks for general, multilingual and legal text.

Orchestra-Research/AI-Research-SKILLs

Designs multiscale chunking for RAG by embedding small units for retrieval precision and returning larger context for synthesis.

agentsope/SkillAlchemy

Adds and tunes a reranker stage for RAG using the retrieve-wide, rerank-narrow pattern.

agentsope/SkillAlchemy

RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers.

llama-farm/llamafarm

Enhancement-overlay SOP for adding sparse (BM25 / keyword) retrieval alongside dense (embedding) retrieval.

agentsope/SkillAlchemy

Re-ingest-correctness SOP for production RAG. An agent skill from agentsope/SkillAlchemy.

agentsope/SkillAlchemy

Operating-system distillation of LlamaIndex — the leading RAG / document-agent framework.

agentsope/SkillAlchemy

Security-first SOP for multi-tenant RAG systems. An agent skill from agentsope/SkillAlchemy.

agentsope/SkillAlchemy

Ingests unstructured and semi-structured documents into Neo4j as a knowledge graph.

neo4j-contrib/neo4j-skills

Build GraphRAG retrieval pipelines on Neo4j using the neo4j-graphrag Python package (v1.22.0+).

neo4j-contrib/neo4j-skills

Use this repo skill for RAGs, a Streamlit app that builds configurable LlamaIndex RAG agents from natural-language setup, data sources, and model settings.

VectorSpaceLab/AREX-Skill

Build LLM applications with the LlamaIndex framework. An agent skill from magnus919/agent-skills.

magnus919/agent-skills