Python Codebase Analysis RAG System
by shervinemp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| WEAVIATE_HOST | No | Weaviate host address | localhost |
| WEAVIATE_PORT | No | Weaviate HTTP port | 8080 |
| GEMINI_API_KEY | Yes | Your Gemini API key | |
| LLM_CONCURRENCY | No | Max concurrent background LLM tasks (embeddings/descriptions/refinements) | 5 |
| WEAVIATE_GRPC_PORT | No | Weaviate gRPC port | 50051 |
| WEAVIATE_BATCH_SIZE | No | Batch size for Weaviate operations | 100 |
| EMBEDDING_MODEL_NAME | No | Gemini model for embeddings | models/embedding-001 |
| GENERATION_MODEL_NAME | No | Gemini model for text generation | models/gemini-pro |
| SEMANTIC_SEARCH_LIMIT | No | Limit for semantic search results | 5 |
| SEMANTIC_SEARCH_DISTANCE | No | Distance threshold for semantic search | 0.7 |
| WATCHER_POLLING_INTERVAL | No | File watcher polling interval in seconds | 5 |
| GENERATE_LLM_DESCRIPTIONS | No | Set to true to enable background LLM description generation and refinement | true |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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