LangChain
LangChain: A flexible foundation for developers building programmable RAG and agent applications. Ranked #3 of 26 in Retrieval-Augmented Generation Tools by our editors (9.1/10); pricing: Free plan; best for programmable RAG and agent applications.
At a glance
- Editor score9.1 / 10
- PricingFree plan
- Best forProgrammable RAG and agent applications
- Free planYes
- Paid fromFree
- Source citationsYes
- Founded2023 · San Francisco, United States
- Facts checked22 Sep 2026
Where it wins
- Covers loading, splitting, embeddings, storage, retrieval, and cited answers
- Connects models, tools, databases, and data sources across major providers
- Supports durable workflows, checkpoints, approvals, and context management
Where it doesn't
- Requires developers to assemble and operate the application stack
- Self-hosted deployment places infrastructure responsibilities on the team
- LangChain itself does not provide LangSmith's tracing and deployment workflows
Our verdict on LangChain
LangChain is an open-source framework for developers building LLM applications, retrieval-augmented generation systems, and agents. It is suited to teams that want application-code control over document processing, retrieval, model calls, tool use, and agent behavior rather than a standalone hosted workspace. Its scope spans pre-built agent architectures, agent templates, retriever and vector-store abstractions, metadata filtering, maximal marginal relevance retrieval, and RAG answer generation with citations to retrieved sources.
For RAG development, the framework covers the main pipeline from document loading and splitting through embedding, vector storage, retrieval, and generation. It also supports hybrid search, according to its category specifications, alongside metadata filtering and citation support. Integrations include OpenAI, Azure, Google Gemini, AWS, Hugging Face, Ollama, Cohere, Mistral AI, Nomic, NVIDIA, Voyage AI, and IBM watsonx. This breadth gives developers room to select models and data services while keeping retrieval components within the application architecture.
Agent applications gain additional control through middleware for human-in-the-loop approval and context management. Durable runtime capabilities through LangGraph add persistence, rewind, and checkpointing for workflows that need state across execution steps. LangChain runs in application code and is designed for self-hosted deployment, so it fits teams prepared to manage their own runtime and assemble the surrounding infrastructure. Developers seeking a programmable foundation for custom RAG and agent systems should consider it; teams looking for a ready-made hosted application or built-in operational workspace should look elsewhere.
Your product? Our editors can test LangChain in depth and publish a review, labelled as paid · from $149/mo →
LangChain pricing
LangChain fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Source citations | Yes |
| Hybrid search | Yes |
| Result reranking | Not verified |
| Source connectors | Not verified |
| Deployment | Self_hosted |
| RAG workflow builder | Not verified |
| Maximum file size | Not verified |
| Deployment | Self-hosted |
| Support | Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 1,000+ integrations: OpenAI, Azure, Google Gemini, AWS, Hugging Face, Ollama … See all → |
| Pricing | Free plan |
| Website | langchain.com |
| Facts checked | 22 Sep 2026 |
LangChain integrations
LangChain lists 1,000+ integrations on its own site — the 12 named here are the ones its pages call out.
- OpenAI
- Azure
- Google Gemini
- AWS
- Hugging Face
- Ollama
- Cohere
- Mistral AI
- Nomic
- NVIDIA
- Voyage AI
- IBM watsonx
See all LangChain integrations →
Alternatives to LangChain
- Amazon Bedrock Knowledge BasesA deep, AWS-centered toolkit for production RAG over enterprise and structured data.9.3
- HaystackA modular Python framework for customizable RAG pipelines, agents, and semantic search.9.2
- RAGFlowDeep-document RAG with hybrid retrieval, citations, workflows, and self-hosting.8.8
See all LangChain alternatives →
LangChain vs the competition
- LangChain vs Amazon Bedrock Knowledge Bases
- LangChain vs Haystack
- LangChain vs RAGFlow
- LangChain vs Progress Agentic RAG
- LangChain vs Haystack Enterprise Platform
- LangChain vs Vectara
Compare LangChain with any tool side by side →
Also Ranked In
LangChain is ranked in 7 of our directories.
Used LangChain? Be the first to review it
The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used LangChain for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
Write a reviewTwo minutes · verified accounts only · read by an editor before it appears
Featured on iTechGuides
LangChain is listed in our Retrieval-Augmented Generation Tools directory. Add the badge to your site — it links back to this page.
<a href="https://www.itechguides.com/products/langchain/"><img src="https://www.itechguides.com/best/badge/langchain.svg" alt="Featured on iTechGuides" width="230" height="46"></a>
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update