langchain-retriever
LangChain retriever implementation with various retrieval strategies for RAG applications
它会碰到什么
扫了多少2 个文本文件，2 KB
它会碰到什么不碰外部（只输出文字）
命中总数0 处
命中统计严重 0 · 高 0 · 中 0 · 低 0
这一栏是扫描器报的事实，不是结论。命中多不等于有毒（安全工具、规则库、示例脚本本来就会包含危险写法），命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系，需要你自己看。
技能内容
LangChain Retriever Skill
Capabilities
- Implement various LangChain retriever types
- Configure vector store retrievers
- Set up multi-query retrievers for improved recall
- Implement contextual compression retrievers
- Design ensemble retrievers combining multiple strategies
- Configure self-query retrievers for structured filtering
Target Processes
- rag-pipeline-implementation
- advanced-rag-patterns
Implementation Details
Retriever Types
- VectorStoreRetriever: Basic similarity search
- MultiQueryRetriever: Generates query variations
- ContextualCompressionRetriever: Filters and compresses results
- EnsembleRetriever: Combines multiple retrievers
- SelfQueryRetriever: Structured metadata filtering
- ParentDocumentRetriever: Returns parent chunks
Configuration Options
- Search type (similarity, mmr, similarity_score_threshold)
- Number of documents to retrieve (k)
- Score thresholds
- Metadata filtering
- Compression settings
Dependencies
- langchain
- langchain-community
- Vector store client
想直接用这个技能？
本站把开放许可（MIT / Apache 等）的技能按仓库打包整理到网盘，点一下转存到你自己的网盘，不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接，不打包。
它属于哪个仓库
星标★ 1,796
本站分层T1
该仓技能数2115
原文件路径
library/specializations/ai-agents-conversational/skills/langchain-retriever/SKILL.md