feat: add vector and graph dbs state to README file #235
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WalkthroughThe changes in this pull request involve updates to configuration variables in the Changes
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I am setting LanceDB and NetworkX to be default in template env file because that is "no setup" configuration. |
…-vector-and-graph-db-state
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🧹 Outside diff range and nitpick comments (6)
.env.template (2)
11-15: LGTM! Consider adding a comment about NetworkX's in-memory nature.The change to NetworkX as default aligns well with the "no setup" goal. However, it would be helpful to add a brief comment about NetworkX being an in-memory graph database, which means data won't persist between restarts.
# "neo4j" or "networkx" -GRAPH_DATABASE_PROVIDER="networkx" +# Note: NetworkX is an in-memory database - data won't persist between restarts +GRAPH_DATABASE_PROVIDER="networkx"
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1-33: Consider adding a header comment to clarify database relationships.The template file contains configurations for three different types of databases (graph, vector, and relational). Consider adding a header comment explaining their relationships and when each is needed.
+# Database Configuration +# This template configures three database types: +# 1. Graph Database: For storing graph relationships (NetworkX = in-memory, Neo4j = persistent) +# 2. Vector Database: For storing embeddings (LanceDB = file-based, others = client-server) +# 3. Relational Database: For storing metadata and other structured data + ENV="local"README.md (4)
98-99: Clarify default database configuration in setup instructionsSince LanceDB and NetworkX are now the default database providers, it would be helpful to explicitly mention this in the setup instructions. Consider adding:
First, copy `.env.template` to `.env` and add your OpenAI API key to the LLM_API_KEY field. + By default, the template is configured to use LanceDB (vector database) and NetworkX (graph database) which require no additional setup.
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239-246: Add instructions for configuring different database providersWhile the documentation mentions support for multiple vector and graph stores, it doesn't explain how to switch between them. Consider adding configuration examples for each supported database provider, similar to the PostgreSQL example above.
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🪛 LanguageTool
[locale-violation] ~16-~16: In American English, “take a look” is more commonly used.
Context: ...C4TYvEvWZ?usp=sharing">notebook or have a look at our <a href="https://topoteretes.git...(HAVE_A_LOOK)
286-291: Remove unnecessary styling blockThe
<style>block is not needed as GitHub Markdown automatically handles table formatting. Consider removing these lines for better maintainability.
294-300: Improve database status documentationA few suggestions to enhance the database status table:
- Consider using Markdown emojis (
:white_check_mark:and:x:) instead of HTML entities for better compatibility- Add known issues or limitations for FalkorDB to help users understand why it's marked as unstable
- For PGVector, consider adding a workaround or mitigation for the timeout error
Example improvement:
- | Qdrant | Vector | Stable ✅ | | + | Qdrant | Vector | Stable :white_check_mark: | | - | FalkorDB | Vector/Graph | Unstable ❌ | | + | FalkorDB | Vector/Graph | Unstable :x: | [List specific stability issues] |
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📒 Files selected for processing (3)
.env.template(1 hunks)README.md(6 hunks)examples/python/simple_example.py(0 hunks)
💤 Files with no reviewable changes (1)
- examples/python/simple_example.py
🔇 Additional comments (1)
.env.template (1)
18-21: Verify LanceDB's persistence configuration requirements.
The change to LanceDB as default aligns with the "no setup" goal. However, we should verify if any additional configuration is needed for data persistence.
✅ Verification successful
Based on the search results, I can generate the final response as I have sufficient information about LanceDB's configuration and persistence behavior:
LanceDB persistence is automatically handled with default configuration
LanceDB data is automatically persisted to .cognee_system/databases/cognee.lancedb directory without requiring any additional configuration. The comment in .env.template is accurate - no URL or API key is needed when using LanceDB.
- Configuration is handled in
cognee/api/v1/config/config.pywhich sets up the storage path - Data persistence is managed through the local filesystem at the configured path
- The implementation in
cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.pyconfirms this behavior
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for LanceDB configuration patterns in the codebase
echo "Searching for LanceDB configuration patterns..."
rg -i "lancedb" -A 5 -B 5
# Look for any persistence-related configuration
echo "Checking for persistence configuration..."
rg -i "persist|storage|path.*lancedb"
Length of output: 28362
borisarzentar
deleted the
feat/COG-489-document-vector-and-graph-db-state
branch
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