langchain-knowledge-base
CommunityBuild searchable LangChain knowledge bases.
Data & Analytics#langchain#rag#retrieval#semantic-search#document-processing#knowledge-base#vector-store
Authorchristian-bromann
Version1.0.0
Installs0
System Documentation
What problem does it solve?
End-to-end tutorial for building a searchable knowledge base with LangChain, guiding users from document loading through indexing, semantic search, and RAG-driven Q&A to unlock actionable insights from documents.
Core Features & Use Cases
- End-to-end knowledge base construction: load documents, split content, create embeddings, and persist a vector store for fast retrieval.
- Semantic search and RAG: perform relevance-based retrieval and generate answers with source context.
- Real-world workflows: internal document search, compliance review, and knowledge-centric customer support.
Quick Start
Load sample LangChain documents, index them into a persistent vector store, and run a sample semantic search and RAG Q&A demonstration.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: langchain-knowledge-base Download link: https://github.com/christian-bromann/langchain-skills/archive/main.zip#langchain-knowledge-base Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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