45 AI tools for LangChain ?
An archived LangGraph example implementing Agentic RAG - an agent that decides whether to retrieve.
Seven-phase bundle orchestrating specialist skills across LLM integration, RAG, agents, ML pipelines, observability, and AI security.
Strategies for managing LLM context windows - summarization, trimming, routing, and token budgeting - to avoid context rot.
Guides using GigaChat through LangChain abstractions - chat models, embeddings, tool binding, and RAG - instead of the raw gigachat SDK.
Routing skill that decides which GigaChat integration layer fits a task - raw SDK, LangChain, or the OpenAI-compatible gpt2giga proxy.
Earnings Call Transcript Loader fetches a US company's quarterly earnings call transcript into LlamaIndex documents.
LangGraph-based autonomous agent patterns - ReAct, Plan-Execute, Reflection, durable checkpointing - plus 7 production failure modes.
Langfuse LLM observability expert: tracing, prompt versioning, LLM-as-judge evaluation, datasets, and OpenAI/LangChain integration.
Provides patterns and checklists for building LangChain 0.1+ and LangGraph agents with Claude Sonnet 4.5, Voyage AI embeddings, async patterns, and LangSmith
Load data from MongoDB into LlamaIndex with this SimpleMongoReader. Concatenate specified fields from MongoDB documents.
Open-source enterprise AI platform: LLM and MCP gateway, agent runtime, RAG knowledge base, and SSO/RBAC guardrails behind one URL.
Run your own MCP server on Azure Functions to connect AI agents to real-world APIs. Supports C#, Python, and TypeScript.
Build a product recommendation chatbot using RAG over a Neo4j graph database instead of a relational one.
OpenAI cookbook building a Langchain question-answering system on AnalyticDB with custom prompt templates.
LangGraph Corrective RAG (CRAG) chain that grades retrieved documents and falls back to Tavily web search when relevance is low.
OpenAI cookbook building a Langchain question-answering system on a local Qdrant instance with custom prompts.
An archived LangGraph example implementing Self-RAG's self-grading of retrieval, relevance, and usefulness.
An archived LangGraph example running Self-RAG's self-grading pattern entirely on local models.
A cookbook prompt chain showing how to reduce GPT-4 hallucination using Pinecone-backed retrieval augmented generation.
An OpenAI Cookbook guide to building a QA system with LangChain, Tair as a knowledge base, and OpenAI embeddings.
Cookbook building semantic search with OpenAI embeddings, LangChain's Oracle vector store, and Oracle AI Database Vector Search.
