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LangChain-for-LLM-Application-Development

In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.

WeKnora

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

Popularity
Repository stars21236,266Highest
7-day net stars——
Fork1534,937Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2023-06-042026-11-02
Maintenance notesNot verifiedNot verified
Repository created2023-06-042025-07-22
License & use
LicenseLicense not declaredLicense not declared
License source—License source
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeModel and data evaluationModel and data evaluation · Knowledge bases · Retrieval-augmented generation
TypeModels & adaptersApps & systems
SubcategoryLanguage modelsKnowledge bases
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguageJupyter NotebookGo
About this projectIn LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
Measured at2026-11-02 19:01 UTC2026-11-02 18:59 UTC

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