mirror of
https://github.com/hwchase17/langchain.git
synced 2026-04-04 19:35:08 +00:00
aff771923a
Use docusaurus versioning with a callout, merged master as well @hwchase17 @baskaryan --------- Signed-off-by: Weichen Xu <weichen.xu@databricks.com> Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: Leonid Ganeline <leo.gan.57@gmail.com> Co-authored-by: Leonid Kuligin <lkuligin@yandex.ru> Co-authored-by: Averi Kitsch <akitsch@google.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Nuno Campos <nuno@langchain.dev> Co-authored-by: Nuno Campos <nuno@boringbits.io> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Martín Gotelli Ferenaz <martingotelliferenaz@gmail.com> Co-authored-by: Fayfox <admin@fayfox.com> Co-authored-by: Eugene Yurtsev <eugene@langchain.dev> Co-authored-by: Dawson Bauer <105886620+djbauer2@users.noreply.github.com> Co-authored-by: Ravindu Somawansa <ravindu.somawansa@gmail.com> Co-authored-by: Dhruv Chawla <43818888+Dominastorm@users.noreply.github.com> Co-authored-by: ccurme <chester.curme@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: WeichenXu <weichen.xu@databricks.com> Co-authored-by: Benito Geordie <89472452+benitoThree@users.noreply.github.com> Co-authored-by: kartikTAI <129414343+kartikTAI@users.noreply.github.com> Co-authored-by: Kartik Sarangmath <kartik@thirdai.com> Co-authored-by: Sevin F. Varoglu <sfvaroglu@octoml.ai> Co-authored-by: MacanPN <martin.triska@gmail.com> Co-authored-by: Prashanth Rao <35005448+prrao87@users.noreply.github.com> Co-authored-by: Hyeongchan Kim <kozistr@gmail.com> Co-authored-by: sdan <git@sdan.io> Co-authored-by: Guangdong Liu <liugddx@gmail.com> Co-authored-by: Rahul Triptahi <rahul.psit.ec@gmail.com> Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: pjb157 <84070455+pjb157@users.noreply.github.com> Co-authored-by: Eun Hye Kim <ehkim1440@gmail.com> Co-authored-by: kaijietti <43436010+kaijietti@users.noreply.github.com> Co-authored-by: Pengcheng Liu <pcliu.fd@gmail.com> Co-authored-by: Tomer Cagan <tomer@tomercagan.com> Co-authored-by: Christophe Bornet <cbornet@hotmail.com>
61 lines
2.2 KiB
Plaintext
61 lines
2.2 KiB
Plaintext
# Neo4j
|
|
|
|
>What is `Neo4j`?
|
|
|
|
>- Neo4j is an `open-source database management system` that specializes in graph database technology.
|
|
>- Neo4j allows you to represent and store data in nodes and edges, making it ideal for handling connected data and relationships.
|
|
>- Neo4j provides a `Cypher Query Language`, making it easy to interact with and query your graph data.
|
|
>- With Neo4j, you can achieve high-performance `graph traversals and queries`, suitable for production-level systems.
|
|
|
|
>Get started with Neo4j by visiting [their website](https://neo4j.com/).
|
|
|
|
## Installation and Setup
|
|
|
|
- Install the Python SDK with `pip install neo4j`
|
|
|
|
|
|
## VectorStore
|
|
|
|
The Neo4j vector index is used as a vectorstore,
|
|
whether for semantic search or example selection.
|
|
|
|
```python
|
|
from langchain_community.vectorstores import Neo4jVector
|
|
```
|
|
|
|
See a [usage example](/docs/integrations/vectorstores/neo4jvector)
|
|
|
|
## GraphCypherQAChain
|
|
|
|
There exists a wrapper around Neo4j graph database that allows you to generate Cypher statements based on the user input
|
|
and use them to retrieve relevant information from the database.
|
|
|
|
```python
|
|
from langchain_community.graphs import Neo4jGraph
|
|
from langchain.chains import GraphCypherQAChain
|
|
```
|
|
|
|
See a [usage example](/docs/integrations/graphs/neo4j_cypher)
|
|
|
|
## Constructing a knowledge graph from text
|
|
|
|
Text data often contain rich relationships and insights that can be useful for various analytics, recommendation engines, or knowledge management applications.
|
|
Diffbot's NLP API allows for the extraction of entities, relationships, and semantic meaning from unstructured text data.
|
|
By coupling Diffbot's NLP API with Neo4j, a graph database, you can create powerful, dynamic graph structures based on the information extracted from text.
|
|
These graph structures are fully queryable and can be integrated into various applications.
|
|
|
|
```python
|
|
from langchain_community.graphs import Neo4jGraph
|
|
from langchain_experimental.graph_transformers.diffbot import DiffbotGraphTransformer
|
|
```
|
|
|
|
See a [usage example](/docs/integrations/graphs/diffbot)
|
|
|
|
## Memory
|
|
|
|
See a [usage example](/docs/integrations/memory/neo4j_chat_message_history).
|
|
|
|
```python
|
|
from langchain.memory import Neo4jChatMessageHistory
|
|
```
|