neo4j Reviews

DocParser Reviews

neo4j mentions (36)

• How to give Claude Code persistent memory with a self-hosted mem0 MCP server

  The stack runs on Qdrant for vector storage, Ollama for local embeddings, and optional Neo4j for a knowledge graph that I added later. I also set it up to route different operations to the best LLM for each task. It provides eleven tools for your Claude Code instance to manage long-term memory operations, and your memories data never leaves your machine. - Source: dev.to / 7 months ago

• The Context Graph Manifesto

  Perhaps the biggest promoter of the term has been Philip Rathle from Neo4j, which offers the best-known graph database system for storing knowledge graphs. But here's where the confusion starts: Is a knowledge graph something you store, or is it how you store something? It's not just a knowledge graph—it's also a graph database. That distinction matters, but the boundaries are blurry. - Source: dev.to / 8 months ago

• 6 retrieval augmented generation (RAG) techniques you should know

  The key difference lies in the retrieval mechanism. Vector databases focus on semantic similarity by comparing numerical embeddings, while graph databases emphasize relations between entities. Two solutions for graph databases are Neptune from Amazon and Neo4j. In a case where you need a solution that can accommodate both vector and graph, Weaviate fits the bill. - Source: dev.to / over 1 year ago

• LLM to extract and auto generate knowledge graph - step by step, in ~100 lines of python

  Neo4j is a leading graph database that is easy to use and powerful for knowledge graphs. - Source: dev.to / over 1 year ago

• 10 Ways AI Can Speed Up your Mobile App Development

  Neo4j is one of the most popular graph databases. It offers powerful querying capabilities through its Cypher query language. - Source: dev.to / over 1 year ago

DocParser mentions (14)

• What is the approach for extraction of structured data from financial documents

  You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: about 3 years ago

• Best 10 AI Tools for Google Sheets (2023)

  DocParser: DocParser simplifies the extraction of structured data from various file formats, such as PDFs and scanned documents, directly into Google Sheets. By automating this process, DocParser saves valuable time and effort otherwise spent on manual data entry. Link to DocParser. Source: over 3 years ago

• Unhappy with current job. Not really "data" work (no Python or SQL)

  There are several tools available today that can help you extract tables from PDF files (such as Tabula), or even parse PDFs into structured JSON using AI (like Parsio -> I'm the founder) or without AI (like Docparser). Source: over 3 years ago

• OpenAI for parsing PDFs

  Thank you for sharing those! I didn't know them I've only checked this one https://docparser.com/ and I think my solution could be better because it will be easier for the user. Source: over 3 years ago

• Need help with a repeatable way to clean up a report

  As previously suggested, if the layout of your PDFs never changes (consistent column widths in tables and placement), you can use a zonal PDF parser like DocParser. Alternatively, an AI-powered parser may be a better choice. Source: over 3 years ago