langchain-hatidata 0.1.1

LangChain integration for HatiData — Memory, VectorStore, and Tools backed by HatiData

langchain-hatidata

LangChain integration for HatiData -- Memory, VectorStore, and Tools backed by HatiData's in-VPC data warehouse with agent-aware billing and audit.

Installation

pip install langchain-hatidata

Quick Start

from langchain_hatidata import HatiDataMemory, HatiDataVectorStore, HatiDataToolkit

# Conversation memory persisted to HatiData
memory = HatiDataMemory(host="proxy.internal", agent_id="my-agent")

# Vector store for RAG
vectorstore = HatiDataVectorStore(
    host="proxy.internal",
    agent_id="my-agent",
    table="embeddings",
)

# SQL tools for agents
toolkit = HatiDataToolkit(host="proxy.internal", agent_id="my-agent")

Features

• HatiDataMemory -- Persistent conversation memory backed by HatiData, with full audit trails
• HatiDataVectorStore -- Vector similarity search for RAG pipelines, stored in-VPC
• HatiDataToolkit -- SQL query, table listing, schema inspection, and context search tools for LangChain agents
• Agent-aware billing -- Every query is tagged with agent ID and framework for per-agent cost tracking
• Sub-10ms latency -- Queries execute in-VPC with no data leaving your network

Components

Class	LangChain Base	Description
HatiDataMemory	BaseMemory	Conversation history persisted to HatiData
HatiDataVectorStore	VectorStore	Vector similarity search backed by HatiData
HatiDataToolkit	BaseToolkit	SQL and context search tools for agents

Documentation

Full documentation is available at docs.hatiosai.com/hatidata.

License

Apache License 2.0. Copyright (c) Marviy Pte Ltd. See LICENSE for details.