LangChain Neo4j Starter Kit
Blog post from Neo4j
This code creates a server with a single REST endpoint that generates GenAI answers backed by data stored in a Neo4j Graph Database. The Neo4j LangChain Starter Kit for Python developers showcases how to combine Neo4j, FastAPI, OpenAI, and LangChain technologies. It provides a generic framework for generating GenAI answers using a Neo4j database as the knowledge graph. The kit is designed to be simple and portable, allowing users to easily swap out different databases and models. To run the starter kit, users need to have credentials to an actively running and populated Neo4j database and an active OpenAI API key. The kit includes examples of how to use vector similarity searches with Neo4jVector and a prompt plus the answers from both chains to generate a composite answer.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 13 | 2,643 | 305 | 124 | -22% |
| Multi-agent systems | 1 | No monthly metrics for this publish month. | |||
| RAG | 1 | 773 | 144 | 59 | -57% |
| Vector Search | 1 | 1,187 | 169 | 73 | -55% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.