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[PR #1131] [MERGED] integration: add FalkorDB integration documentation #1317

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opened 2026-02-17 17:22:08 -05:00 by yindo · 0 comments
yindo commented 2026-02-17 17:22:08 -05:00
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📋 Pull Request Information

Original PR: https://github.com/langchain-ai/docs/pull/1131
Author: @Naseem77
Created: 10/25/2025
Status: ✅ Merged
Merged: 11/6/2025
Merged by: @lnhsingh

Base: main ← Head: add-falkordb-integration-documentation

📝 Commits (6)

  • 0443a6e feat: add FalkorDB integration documentation for JavaScript
  • 1f43a7e Revise FalkorDB LangChain JS/TS integration docs
  • de5d5f5 Update falkordb.mdx
  • fd42ec6 Merge branch 'main' into add-falkordb-integration-documentation
  • 3fd473c Update falkordb.mdx
  • 03e76e9 Update falkordb.mdx

📊 Changes

2 files changed (+214 additions, -0 deletions)

View changed files

➕ src/oss/javascript/integrations/tools/falkordb.mdx (+207 -0)
📝 src/oss/javascript/integrations/tools/index.mdx (+7 -0)

📄 Description

Overview

Add comprehensive documentation for the FalkorDB integration for LangChain JavaScript/TypeScript. FalkorDB is a high-performance graph database built on Redis that enables developers to build knowledge graphs and perform complex graph queries with exceptional speed.

This documentation follows the pattern established by the Decodo integration (#8786), as a standalone package published separately from the community package.

Type of change

Type: New documentation page

Related issues/PRs

Changes made

  • Add comprehensive FalkorDB integration guide at src/oss/javascript/integrations/tools/falkordb.mdx
  • Include installation instructions, API reference, and usage examples
  • Add FalkorDB card to tools index page in alphabetical order
  • Document graph database features: Cypher support, schema management, LLM integration
  • Following the standalone package pattern recommended by the LangChain team

Checklist

  • I have read the contributing guidelines
  • I have tested my changes locally using docs dev
  • All code examples have been tested and work correctly
  • I have used root relative paths for internal links
  • I have updated navigation in src/docs.json if needed (added to tools index)
  • I have gotten approval from the relevant reviewers
  • (Internal team members only / optional) I have created a preview deployment using the Create Preview Branch workflow

Additional notes

This integration follows the recommended approach of publishing as a standalone package (@falkordb/langchain-ts) rather than being included in the community package, as suggested in the original PR review. The documentation structure and format follow the pattern established by the Decodo integration.

FalkorDB offers:

  • High-performance graph operations built on Redis
  • Full Cypher query language support
  • Seamless LLM integration with LangChain
  • Automatic schema detection and management
  • Modern TypeScript support with full type definitions

Summary by CodeRabbit

  • Documentation
    • Added comprehensive documentation for the FalkorDB integration: installation, quick start (initializing, creating and querying graphs), schema operations, chain usage examples, and API reference.
    • Included advanced usage examples (custom queries, multi-query flows, schema handling), requirements, and references.
    • Added FalkorDB to the tools & integrations listing for easier discovery.

🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/langchain-ai/docs/pull/1131 **Author:** [@Naseem77](https://github.com/Naseem77) **Created:** 10/25/2025 **Status:** ✅ Merged **Merged:** 11/6/2025 **Merged by:** [@lnhsingh](https://github.com/lnhsingh) **Base:** `main` ← **Head:** `add-falkordb-integration-documentation` --- ### 📝 Commits (6) - [`0443a6e`](https://github.com/langchain-ai/docs/commit/0443a6e5560f267507efc40abbad85094e50fcff) feat: add FalkorDB integration documentation for JavaScript - [`1f43a7e`](https://github.com/langchain-ai/docs/commit/1f43a7ea1be091cf81e467ba97b28c78792b0d24) Revise FalkorDB LangChain JS/TS integration docs - [`de5d5f5`](https://github.com/langchain-ai/docs/commit/de5d5f5b09dea1e996cde9a3bfad6a6ebd44f614) Update falkordb.mdx - [`fd42ec6`](https://github.com/langchain-ai/docs/commit/fd42ec6a92e19cb7143fcc2a4d506d44691b77a8) Merge branch 'main' into add-falkordb-integration-documentation - [`3fd473c`](https://github.com/langchain-ai/docs/commit/3fd473ce884f82156cc0e3786a823b299e94edc6) Update falkordb.mdx - [`03e76e9`](https://github.com/langchain-ai/docs/commit/03e76e9cbdb0f8dafa903ce081d0d6d2adfbad7c) Update falkordb.mdx ### 📊 Changes **2 files changed** (+214 additions, -0 deletions) <details> <summary>View changed files</summary> ➕ `src/oss/javascript/integrations/tools/falkordb.mdx` (+207 -0) 📝 `src/oss/javascript/integrations/tools/index.mdx` (+7 -0) </details> ### 📄 Description ## Overview Add comprehensive documentation for the FalkorDB integration for LangChain JavaScript/TypeScript. FalkorDB is a high-performance graph database built on Redis that enables developers to build knowledge graphs and perform complex graph queries with exceptional speed. This documentation follows the pattern established by the Decodo integration (#8786), as a standalone package published separately from the community package. ## Type of change **Type:** New documentation page ## Related issues/PRs - Original feature PR (closed, moved to standalone package): langchain-ai/langchainjs#7367 - Standalone package repository: https://github.com/FalkorDB/FalkorDB-Langchain-js - NPM package: https://www.npmjs.com/package/@falkordb/langchain-ts - Follows the blueprint established by Decodo integration: #8786 ## Changes made - Add comprehensive FalkorDB integration guide at `src/oss/javascript/integrations/tools/falkordb.mdx` - Include installation instructions, API reference, and usage examples - Add FalkorDB card to tools index page in alphabetical order - Document graph database features: Cypher support, schema management, LLM integration - Following the standalone package pattern recommended by the LangChain team ## Checklist - [x] I have read the [contributing guidelines](README.md) - [x] I have tested my changes locally using `docs dev` - [x] All code examples have been tested and work correctly - [x] I have used **root relative** paths for internal links - [x] I have updated navigation in `src/docs.json` if needed (added to tools index) - [ ] I have gotten approval from the relevant reviewers - [ ] (Internal team members only / optional) I have created a preview deployment using the [Create Preview Branch workflow](https://github.com/langchain-ai/docs/actions/workflows/create-preview-branch.yml) ## Additional notes This integration follows the recommended approach of publishing as a standalone package (`@falkordb/langchain-ts`) rather than being included in the community package, as suggested in the original PR review. The documentation structure and format follow the pattern established by the Decodo integration. FalkorDB offers: - High-performance graph operations built on Redis - Full Cypher query language support - Seamless LLM integration with LangChain - Automatic schema detection and management - Modern TypeScript support with full type definitions <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **Documentation** * Added comprehensive documentation for the FalkorDB integration: installation, quick start (initializing, creating and querying graphs), schema operations, chain usage examples, and API reference. * Included advanced usage examples (custom queries, multi-query flows, schema handling), requirements, and references. * Added FalkorDB to the tools & integrations listing for easier discovery. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
yindo added the pull-request label 2026-02-17 17:22:08 -05:00
yindo closed this issue 2026-02-17 17:22:08 -05:00
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Reference: langchain-ai/docs#1317
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