32 AI tools for LangChain ?
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.
Reliability-first patterns for autonomous AI agents - ReAct, Plan-Execute, Reflection loops, guardrails, and LangGraph checkpointing - plus 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
An AI engineer skill for building production LLM applications, advanced RAG systems, and intelligent agents.
Persistent memory systems for LLM conversations - tiered short/long-term/entity memory, memory-aware prompting, and strict per-user isolation.
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.
Load US earnings call transcripts by ticker, year, and quarter into LlamaIndex.
LlamaIndex reader that parses Obsidian vault markdown files into documents with metadata including wikilinks, backlinks, and optional task extraction.
Query and inspect decentralized blockchain subgraphs via Playgrounds API in a LlamaIndex agent.
LlamaIndex reader that pulls a cleaned Lilac dataset back into LlamaIndex documents.
Retrieve documents from an existing Solr index into LlamaIndex with field filtering.
Load documents from Cypher query results against Neo4j, AWS Neptune, or Memgraph.
LlamaIndex reader that searches subreddits by keyword and loads posts and comments.
Apify Loaders for LlamaIndex load web-scraped data from Apify Actors and datasets into LlamaIndex documents for RAG pipelines and vector indexing.
DeepLake Reader retrieves documents from existing DeepLake datasets using vector queries for LlamaIndex applications.
