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Thank you for contributing to LangChain! **Description:** Since we just implemented [langchain-memgraph](https://pypi.org/project/langchain-memgraph/) integration, we are adding basic docs to [your site based on this comment](https://github.com/langchain-ai/langchain/pull/30197#pullrequestreview-2671616410) from @ccurme . **Twitter handle:** [@memgraphdb](https://x.com/memgraphdb) - [x] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>
41 lines
1.3 KiB
Plaintext
41 lines
1.3 KiB
Plaintext
# Memgraph
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>Memgraph is a high-performance, in-memory graph database that is optimized for real-time queries and analytics.
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>Get started with Memgraph by visiting [their website](https://memgraph.com/).
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## Installation and Setup
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- Install the Python SDK with `pip install langchain-memgraph`
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## MemgraphQAChain
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There exists a wrapper around Memgraph graph database that allows you to generate Cypher statements based on the user input
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and use them to retrieve relevant information from the database.
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```python
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from langchain_memgraph.chains.graph_qa import MemgraphQAChain
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from langchain_memgraph.graphs.memgraph import Memgraph
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```
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See a [usage example](/docs/integrations/graphs/memgraph)
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## Constructing a Knowledge Graph from unstructured data
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You can use the integration to construct a knowledge graph from unstructured data.
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```python
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from langchain_memgraph.graphs.memgraph import Memgraph
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from langchain_experimental.graph_transformers import LLMGraphTransformer
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```
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See a [usage example](/docs/integrations/graphs/memgraph)
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## Memgraph Tools and Toolkit
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Memgraph also provides a toolkit that allows you to interact with the Memgraph database.
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See a [usage example](/docs/integrations/tools/memgraph).
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```python
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from langchain_memgraph import MemgraphToolkit
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```
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