couchbase-examples/vector-search-cookbook
Nov 2025 – Dec 2025
2 Months active
Languages Used
MarkdownJupyter NotebookPythonmarkdownyaml
Technical Skills
content writingdocumentationtechnical writingtutorial creationtutorial developmentAI Integration
Shyam Venkat
PROFILE
Shyam Venkat
Contributed to the couchbase-examples/vector-search-cookbook repository by developing and refining end-to-end retrieval-augmented generation (RAG) tutorials, integrating Couchbase Vector Search with OpenAI, Haystack, and LlamaIndex workflows. Focused on aligning Capella model services with Haystack, improving search accuracy through algorithm updates, and enhancing onboarding with comprehensive documentation and tutorial creation. Addressed code quality by refactoring modules for better modularity and maintainability, resolving reference and linting errors, and standardizing file organization. Leveraged Python, Jupyter Notebook, and YAML to implement AI integration, data processing, and semantic search features, delivering a stable foundation for future enhancements and a clearer developer experience.
Overall Statistics
Feature vs Bugs
70%Features
Repository Contributions
27Total
Bugs
3
Commits
27
Features
7
Lines of code
4,149
Activity Months2
Your Network
57 peopleWork History
December 2025
24 Commits • 6 Features
Dec 1, 2025In December 2025, the vector-search-cookbook repository focused on delivering Haystack-based search capabilities, aligning Capella model services with Haystack workflows, and strengthening code quality and maintainability. The work emphasized business value through improved search accuracy, end-to-end clarity for model service usage, and a stable development baseline for future features.
24 Commits • 6 Features
Dec 1, 2025In December 2025, the vector-search-cookbook repository focused on delivering Haystack-based search capabilities, aligning Capella model services with Haystack workflows, and strengthening code quality and maintainability. The work emphasized business value through improved search accuracy, end-to-end clarity for model service usage, and a stable development baseline for future features.
December 2025
November 2025
3 Commits • 1 Features
Nov 1, 2025November 2025 milestone: Delivered consolidated RAG tutorials and Couchbase Vector Search integration within the couchbase-examples/vector-search-cookbook. Implemented FTS/GSI paths and title/editorial consistency across OpenAI, Haystack, and LlamaIndex workflows, aligning tutorials with frontmatter standards and improved navigation for end-to-end RAG use cases.
November 2025
3 Commits • 1 Features
Nov 1, 2025November 2025 milestone: Delivered consolidated RAG tutorials and Couchbase Vector Search integration within the couchbase-examples/vector-search-cookbook. Implemented FTS/GSI paths and title/editorial consistency across OpenAI, Haystack, and LlamaIndex workflows, aligning tutorials with frontmatter standards and improved navigation for end-to-end RAG use cases.
Activity
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Quality Metrics
Correctness100.0%
Maintainability98.6%
Architecture100.0%
Performance98.6%
AI Usage37.8%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPythonmarkdownyaml
Technical Skills
AI IntegrationAI integrationAI services integrationAPI integrationCouchbaseData ProcessingData ScienceDocumentationHaystackJupyterMachine LearningNatural Language ProcessingOpenAIPythonPython programming
Repositories Contributed To
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