Add JavaScript/TypeScript integration to LangChain documentation

[Copilot]

The LangChain documentation at genai-tools/langchain.html only covered Python integration. This extends it to include JavaScript/TypeScript support via @falkordb/langchain-ts.

Changes

genai-tools/langchain.md - Extended with JS/TS section:

• Added JavaScript/TypeScript Integration section with installation, quick start, key features, and API reference
• Reorganized existing Python content under explicit "Python Integration" heading
• Updated Resources section with npm package and GitHub repository links

Cross-references and navigation:

• Added bidirectional links between genai-tools/langchain.md and integration/langchain-js.md
• Updated genai-tools/index.md to indicate dual language support
• Added LangChain JS/TS entry to integration/index.md

Example Usage

import { FalkorDBGraph } from "@falkordb/langchain-ts";
import { ChatOpenAI } from "@langchain/openai";
import { GraphCypherQAChain } from "@langchain/community/chains/graph_qa/cypher";

const graph = await FalkorDBGraph.initialize({
  host: "localhost",
  port: 6379,
  graph: "movies"
});

const chain = GraphCypherQAChain.fromLLM({
  llm: new ChatOpenAI({ temperature: 0 }),
  graph: graph as any,
});

const response = await chain.run("Who played in Pulp Fiction?");

Original prompt

---

This section details on the original issue you should resolve

<issue_title>Add FalkorDB-Langchain-js docs</issue_title>
<issue_description>The integration https://github.com/FalkorDB/FalkorDB-Langchain-js

It should extend the python Langchain docs. https://docs.falkordb.com/genai-tools/langchain.html

---

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Comments on the Issue (you are @copilot in this section)

• Fixes Add FalkorDB-Langchain-js docs #297

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[Copilot]

Pull request overview

This PR adds comprehensive documentation for the FalkorDB-Langchain-js integration, extending the existing Python-focused LangChain documentation to include JavaScript/TypeScript support. The documentation helps developers integrate FalkorDB with LangChain applications in both Python and JS/TS environments.

• Restructured the LangChain documentation to cover both Python and JavaScript/TypeScript integrations
• Added JS/TS-specific installation instructions, quick start guide, and API reference
• Created cross-references between Python and JS/TS documentation sections

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 2 comments.

File	Description
genai-tools/langchain.md	Extended with comprehensive JavaScript/TypeScript integration section including installation, quick start, features, and API reference
integration/langchain-js.md	Added note referencing Python integration documentation
integration/index.md	Added entry for LangChain JS/TS integration
genai-tools/index.md	Updated LangChain entry to indicate Python and JS/TS support

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[Copilot]

The code example uses 'graph' as the parameter name, but according to the API Reference section below (line 263), this parameter should be documented consistently. Consider clarifying whether the parameter is 'graph' or 'graphName' to avoid confusion.

Suggested change

	});
	graphName: "movies"

[Copilot]

Using 'as any' bypasses TypeScript's type checking. Consider documenting why this type assertion is necessary or provide proper typing to avoid encouraging unsafe type practices in example code.

Suggested change

	llm: model,
	graph: graph as any,
	});
	// If needed, define a minimal type for the graph to avoid 'as any'.
	// For example, if GraphCypherQAChain expects a BaseGraph type:
	// import type { BaseGraph } from "@langchain/community/graphs/base";
	// (Uncomment the import above and use the correct type if available)
	const chain = GraphCypherQAChain.fromLLM({
	llm: model,
	graph: graph, // graph should already be of the correct type