Graphlit (@graphlit) 's Twitter Profile
Graphlit

@graphlit

Managed knowledge API platform providing ingestion, memory & retrieval for AI apps and agents

ID: 1651090820773335040

linkhttps://www.graphlit.com calendar_today26-04-2023 05:08:36

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Kirk Marple (@kirkmarple) 's Twitter Profile Photo

With the release of the JFK Files, we wanted to do a comparison between the latest visual LLMs (through Graphlit), and leading PDF extraction APIs including Reducto, chunkr , LlamaIndex 🦙 and Unstract . There's a wide range of outputs, depending on the model and the

With the release of the JFK Files, we wanted to do a comparison between the latest visual LLMs (through <a href="/graphlit/">Graphlit</a>), and leading PDF extraction APIs including <a href="/reductoai/">Reducto</a>, <a href="/chunkrai/">chunkr</a> , <a href="/llama_index/">LlamaIndex 🦙</a> and <a href="/GetUnstract/">Unstract</a> .

There's a wide range of outputs, depending on the model and the
Sumanth (@sumanth_077) 's Twitter Profile Photo

4. Graphlit MCP Ingest anything from Slack, Discord, websites, Google Drive, email, Jira, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Windsurf, Goose or Cline. github.com/graphlit/graph…

Kirk Marple (@kirkmarple) 's Twitter Profile Photo

Can't seem to get 'thoughts' back from Gemini 2.5 Flash or Pro. 🤔 Responds with thoughtsTokenCount > 0, but no 'thought' content parts to look at. cc: Logan Kilpatrick Docs for Gemini REST API are a little patchy on how to enable thinking, and what the response should be.

Can't seem to get 'thoughts' back from Gemini 2.5 Flash or Pro. 🤔

Responds with thoughtsTokenCount &gt; 0, but no 'thought' content parts to look at.

cc: <a href="/OfficialLoganK/">Logan Kilpatrick</a>  Docs for Gemini REST API are a little patchy on how to enable thinking, and what the response should be.
Kirk Marple (@kirkmarple) 's Twitter Profile Photo

This resonates well on the value of MCP. When supporting tool calling in Graphlit , it always seemed messy since we had to call back to native code, in the apps built on our platform. Or we’d need to use a sandbox approach for calling into the tools code. With remote MCP,

Kirk Marple (@kirkmarple) 's Twitter Profile Photo

✨ OK, this is pretty awesome. 🤯 Use the new OpenAI image gen model to dynamically create infographics - Ingest recent tweets from an account - Generate meta-prompt via LLM (o4-mini) - Render the final image (gpt-image-1) All now in Graphlit and available in our API/SDK.

✨ OK, this is pretty awesome.

🤯 Use the new <a href="/OpenAI/">OpenAI</a> image gen model to dynamically create infographics

- Ingest recent tweets from an account
- Generate meta-prompt via LLM (o4-mini)
- Render the final image (gpt-image-1)

All now in <a href="/graphlit/">Graphlit</a> and available in our API/SDK.
Kirk Marple (@kirkmarple) 's Twitter Profile Photo

Now available in our Graphlit MCP server: ✨ OpenAI image generation. Here we're showing the new publishImage tool in Block Open Source Goose CLI. Accepts any text prompt from MCP client, generates the image, and then ingests the resulting PNG back into Graphlit... *and*

Now available in our <a href="/graphlit/">Graphlit</a> MCP server: 
✨ <a href="/OpenAI/">OpenAI</a> image generation.

Here we're showing the new publishImage tool in <a href="/blockopensource/">Block Open Source</a> Goose CLI. 

Accepts any text prompt from MCP client, generates the image, and then ingests the resulting PNG back into Graphlit...

*and*
Kirk Marple (@kirkmarple) 's Twitter Profile Photo

✨ Excited to announce the🥇MCP search engine: McPoogle (aka MCP-oogle). 🦝 Hosted by Inspector McPoogle, our raccoon mascot. Built on the Graphlit platform, you can search and ask questions about 4000+ MCP servers and tools. Here we're asking about MCP servers to use with

Kirk Marple (@kirkmarple) 's Twitter Profile Photo

Our MCP search engine (McPoogle) now has an MCP server that works with Cline. If you're looking for an example of using the Vercel MCP Adapter to build an MCP server, check this out: github.com/graphlit/mcpoo…

Kirk Marple (@kirkmarple) 's Twitter Profile Photo

Memory is the hot button term these days. But offering “canonical knowledge” is something we’ve been doing at Graphlit for several years. Auto-organizing unstructured data of multiple formats; making it searchable and useful via summarization, extraction or publishing.

Graphlit (@graphlit) 's Twitter Profile Photo

Read more about the history of Graphlit - and how we're bringing back our old Unstruk Lens app. With the coding power of @anthropic Claude Sonnet 4 and using AI IDEs like Cline, we'll track how long it takes to bring this app back to life with Next.js and Vercel .

Kirk Marple (@kirkmarple) 's Twitter Profile Photo

Context is everything. Call it RAG, RAG-as-a-service, knowledge base, memory, whatever you want… But now we are seeing everyone focus on providing context to LLMs. cohere Mistral AI now have agent SDKs with builtin tools for context retrieval. IDEs like Cline and

Kirk Marple (@kirkmarple) 's Twitter Profile Photo

✨ Brand-new DX for agentic tool calling in Graphlit We've integrated LLM clients natively into a single 'streamAgent' method, which takes the tool definitions, tool callback methods, and the model specification. Just assign your OpenAI, Anthropic or Google API keys, and we

✨ Brand-new DX for agentic tool calling in <a href="/graphlit/">Graphlit</a> 

We've integrated LLM clients natively into a single 'streamAgent' method, which takes the tool definitions, tool callback methods, and the model specification.

Just assign your OpenAI, Anthropic or Google API keys, and we