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langchain-retriever

langchain-retriever is a skill for Claude Code from a5c-ai/babysitter. It costs 19 tokens per session (357 once invoked), scanned A, original, MIT.

A set of retrieval methods for LangChain, a framework for building applications with language models. Retrieval finds relevant information from a document or vector store before the model answers; this is the core of RAG, or retrieval-augmented generation.

In plain words
What is it for?
Use it to build RAG search pipelines with vector stores, query variations, result compression, combined retrievers, structured filters, or parent-document retrieval.
Why use it?
It helps an application find better supporting information than a basic similarity search alone. Different methods can improve recall, remove irrelevant results, combine searches, or filter by metadata.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

not rated 1.9krepo +4 5d ago A scan SkillSpector: pass 19 tokens original MIT

Good fit Use it to build RAG search pipelines with vector stores, query variations, result compression, combined retrievers, structured filters, or parent-document retrieval.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/a5c-ai/babysitter/langchain-retriever
View source ↗ a5c-ai/babysitter a5c.ai
About the project

Babysitter is a workflow engine for AI coding agents that enforces predefined steps, quality checks, human approvals, and decision records. It is used to coordinate complex, repeatable agent workflows across supported coding tools. The catalogue contains skills, agents, instructions, settings, a plugin, and an MCP integration for its workflow.

a5c-ai/babysitter · 1,890 stars · on GitHub · a5c.ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add a5c-ai/babysitter --skill langchain-retriever
Clone the repo
git clone --depth 1 https://github.com/a5c-ai/babysitter

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for langchain-retriever

README.md
[![agentmods](https://agentmods.dev/badge/skills/a5c-ai/babysitter/langchain-retriever/github.svg)](https://agentmods.dev/skills/a5c-ai/babysitter/langchain-retriever)
Your own site
<a href="https://agentmods.dev/skills/a5c-ai/babysitter/langchain-retriever"><img src="https://agentmods.dev/badge/skills/a5c-ai/babysitter/langchain-retriever/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for langchain-retriever

Your own site · 80×15
<a href="https://agentmods.dev/skills/a5c-ai/babysitter/langchain-retriever"><img src="https://agentmods.dev/badge/skills/a5c-ai/babysitter/langchain-retriever.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 357 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00019 $0.00357
Opus 5.5 $0.00008 $0.00143
Sonnet 5.5 $0.00004 $0.00071
Haiku 4.5 $0.00002 $0.00036

Measured 2mo ago against content hash e49955a54880, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

langchain-retriever scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

library/specializations/ai-agents-conversational/skills/langchain-retriever/SKILL.md · 60 lines

What it actually says

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

  1. VectorStoreRetriever: Basic similarity search
  2. MultiQueryRetriever: Generates query variations
  3. ContextualCompressionRetriever: Filters and compresses results
  4. EnsembleRetriever: Combines multiple retrievers
  5. SelfQueryRetriever: Structured metadata filtering
  6. 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
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 60 lines · 19 tokens per session scan A e49955a54880

Subscribe to this mod's changes

langchain-retriever is a skill published in the GitHub repository a5c-ai/babysitter (1,890 stars, last pushed 5d ago), licensed MIT. It adds 19 tokens to every session and 357 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.

Data and AIRAG and vectorsagent-orchestrationagent-skillsagentic-aiagentic-workflowai-automationbabysitter
Related

langchain-retriever compared with skills from other repositories

langchain-retriever next to 6 skills from other repositories
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langchain-retrievera5c-ai/babysitterSkill1.9k5d agoMITA19Claude Code
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documentation-searchcaipe-io/ai-platform-engineeringSkill437yesterdayApache-2.0A46Claude Code, Codex
AgentDB Vector Searchruvnet/rufloSkill81kyesterdayMITA41Claude Code
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AgentDB Advanced Featuresruvnet/rufloSkill81kyesterdayMITB49Claude Code