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docs: fix typos in documentation (#32201)

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## Summary
- Fixed redundant word "done" in SECURITY.md line 69  
- Fixed grammar errors in Fireworks README.md line 77: "how it fares
compares" → "how it compares" and "in terms just" → "in terms of"

## Test plan
- [x] Verified changes improve readability and correct grammar
- [x] No functional changes, documentation only

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-authored-by: Claude <claude@anthropic.com>
Co-authored-by: Claude <noreply@anthropic.com>
This commit is contained in:
Maxime Grenu
2025-07-23 16:43:25 +02:00
committed by GitHub
parent 3496e1739e
commit a7d0e42f3f
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libs/partners/fireworks/README.md
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@@ -74,7 +74,7 @@ print(output.generations)
### Tool use: LangChain Agent + Fireworks function calling model
Please checkout how to teach Fireworks function calling model to use a calculator [here](https://github.com/fw-ai/cookbook/blob/main/learn/function-calling/notebooks_langchain/fireworks_langchain_tool_usage.ipynb).
Fireworks focus on delivering the best experience for fast model inference as well as tool use. You can check out [our blog](https://fireworks.ai/blog/firefunction-v1-gpt-4-level-function-calling) for more details on how it fares compares to GPT-4, the punchline is that it is on par with GPT-4 in terms just function calling use cases, but it is way faster and much cheaper.
Fireworks focus on delivering the best experience for fast model inference as well as tool use. You can check out [our blog](https://fireworks.ai/blog/firefunction-v1-gpt-4-level-function-calling) for more details on how it compares to GPT-4, the punchline is that it is on par with GPT-4 in terms of function calling use cases, but it is way faster and much cheaper.
### RAG: LangChain agent + Fireworks function calling model + MongoDB + Nomic AI embeddings
Please check out the [cookbook here](https://github.com/fw-ai/cookbook/blob/main/integrations/MongoDB/project_rag_with_mongodb/mongodb_agent.ipynb) for an end to end flow